Affiliated Faculty


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Keith Aaronson, MD

MD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine,

Michigan Medicine Cardiology Clinic | Cardiovascular Center


Methodologies: Machine Learning, Predictive Modeling, Statistical Modeling
Applications: Clinical Research, Precision Health

Steven Abney

Associate Professor,

Linguistics, LSA
School of Information
EECS, College of Engineering (Courtesy)


Methodologies: Artificial Intelligence, Machine Learning, Natural Language Processing
Applications: Computational Linguistics

Eytan Adar

Associate Professor,

School of Information
EECS, College of Engineering


Methodologies: Data Mining, Data Visualization, Image Data Processing and Analysis, Time Series Analysis
Applications: Behavioral Science, Networks, Social Sciences, Survey Research

Achyuta Adhvaryu

Associate Professor,

Ross School of Business


Methodologies: Longitudinal Data Analysis, Machine Learning, Predictive Modeling
Applications: Economics, Global Development, Human Development, Organizational Research

Andrew J. Admon, MD, MPH, MSc

Clinical Lecturer,

Department of Internal Medicine


Methodologies: Causal Inference, Econometrics, Predictive Modeling, Statistical Inference
Applications: Healthcare Management and Outcomes, Medical Informatics

Peter Adriaens

Professor,

Civil and Environmental Engineering, College of Engineering
Ross School of Business
School for Environment and Sustainability


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Decision Science, Econometrics, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing, Network Analysis, Optimization, Predictive Modeling, Signal Processing, Statistics, Time Series Analysis
Applications: Business Analytics, Civic Infrastructure, Climate Research, Economics, Finance Research, Networks, Transportation Research

Michelle Aebersold

Clinical Associate Professor,

School of Nursing


Core Faculty

Applications: Education, Healthcare Management and Outcomes, Learning Analytics

Mahesh Agarwal

Associate Professor,

Mathematics and Statistics, College of Arts, Sciences, and Letters


Methodologies: Data Mining, Data Munging, Machine Learning, Mathematics, Natural Language Processing, Number Theory, Predictive Modeling, Statistical Modeling, Statistics
Applications: Computer Science, Education, Precision Health

Arun Agrawal

Professor,

School for Environment and Sustainability


Applications: Environmental Sciences, Global Development, Political Science, Social Sciences

Hyun-soo Ahn

Professor,

Technology and Operations, Ross School of Business
Supply Chain Management


Methodologies: Dynamical Models, Optimization
Applications: Behavioral Science, Management Science, Operations Research

Raed Al Kontar

Assistant Professor,

Industrial and Operations Engineering, College of Engineering


Methodologies: Bayesian Methods, Data Mining, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Modeling, Statistics, Time Series Analysis
Applications: Industrial Engineering, Information Systems, Operations Research, Precision Health, Sensors and Sensor Networks, Urban Planning

Fadhl Alakwaa

Research Investigator,

Neurology


Methodologies: Classification, Data Visualization, Deep Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Statistical Modeling

Amal Alhosban

Associate Professor,

Computer Science, College of Arts and Sciences


Methodologies: Data Mining
Applications: Computer Science

Mark Allison

Associate Professor,

Computer Science, Engineering and Physics


Applications: Computer Science, Energy Research, Transportation Research

Daniel Almirall

Associate Professor,

Survey Research Center
Institute for Social Research
Statistics, LSA


Methodologies: Causal Inference, Data Collection Design, Decision Science, Longitudinal Data Analysis
Applications: Behavioral Science, Children and Adolescents, Clinical Research, Human Subjects Trials and Intervention Studies, Mental Health, Social Sciences

Karen Alofs

Assistant Professor,

School for Environment and Sustainability
Program in the Environment


Methodologies: Data Collection Design, Data Management, Heterogeneous Data Integration, Longitudinal Data Analysis, Spatio-Temporal Data Analysis, Time Series Analysis
Applications: Ecological Research, Environmental Sciences

George Alter

Research Professor,

Institute for Social Research
Population Studies Center


Challenge Sub-Committee

Methodologies: Data Management, Data Security and Privacy, Digital Data Curation, Longitudinal Data Analysis, Statistical Inference
Applications: Population Sciences, Social Sciences

M. Reza Amini

Assistant Research Scientist,

Naval Architecture and Marine Engineering


Methodologies: Artificial Intelligence, Data Mining, Machine Learning, Optimization, Predictive Modeling
Applications: Energy Research, Robotics, Transportation Research

Yves Atchade

Associate Professor,

Statistics, LSA


Methodologies: High-Dimensional Data Analysis, Optimization, Statistical Inference
Applications: Bioinformatics, Environmental Sciences, Political Science, Social Sciences

Brian D. Athey

Professor,

Computational Medicine and Bioinformatics, Michigan Medicine
Internal Medicine and Psychiatry, Michigan Medicine


Management Committee

Methodologies: Machine Learning
Applications: Bioinformatics, Biological Sciences, Clinical Research, Genetics, Medical Informatics, Mental Health

Yuehao Bai

Assistant Professor,

Economics


Methodologies: Econometrics, Statistical Inference, Statistics
Applications: Economics

Veera Baladandayuthapani

Professor,

Biostatistics


Methodologies: Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Data Visualization, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Network Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Biological Sciences, Clinical Research, Epidemiology, Genetics, Genomics, Global Development, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Medical Imaging, Medical Informatics, Networks, Precision Health, Public Health

Laura Balzano

Assistant Professor,

EECS, College of Engineering


Methodologies: Algorithms, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference
Applications: Bioinformatics, Computer Vision, Electrical Engineering, Sensors and Sensor Networks

Moulinath Banerjee

Professor,

Biostatistics, Statistics, LSA


Methodologies: Statistical Inference, Statistical Modeling, Statistics

Mousumi Banerjee

Anant M. Kshirsagar Collegiate Research Professor,

Biostatistics, School of Public Health
IHPI
Rogel Cancer Center


Methodologies: Classification, Heterogeneous Data Integration, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Clinical Research, Epidemiology, Global Development, Healthcare Management and Outcomes, Music, Population Sciences, Public Health

Syagnik Banerjee

Professor,

Mobile and Interactive Marketing


Applications: Behavioral Science, Business Analytics, Marketing and Consumer Behavior Research, Policy Research, Social Sciences, Survey Research, Transportation Research

Nikola Banovic

Assistant Professor,

Computer Science and Engineering


Methodologies: Artificial Intelligence, Human-Computer Interaction
Applications: Mobile Devices, Precision Health, Public Health, Social Sciences

Shan Bao

Associate Professor,

University of Michigan-Dearborn


Methodologies: Data Collection Design, Data Mining, Data Visualization, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Industrial Engineering

Satinder Singh Baveja

Professor,

EECS, College of Engineering


Methodologies: Artificial Intelligence, Decision Science, Deep Learning, Human-Computer Interaction, Machine Learning
Applications: Healthcare Management and Outcomes, Transportation Research

Erhan Bayraktar

Professor,

Mathematics, LSA


Methodologies: Bayesian Methods, Machine Learning, Mathematics
Applications: Economics

Adriene Beltz

Assistant Professor,

Psychology, LSA


Core Faculty

Methodologies: Dynamical Models, Graph Theory and Graph-based Methods, Longitudinal Data Analysis, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Behavioral Science, Biological Sciences, Children and Adolescents, Clinical Research, Human Development, Mental Health, Networks, Social Sciences, Survey Research

Albert S. Berahas

Assistant Professor,

Industrial & Operations Engineering


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Machine Learning, Mathematics, Optimization, Statistics
Applications: Computer Science, Electrical Engineering, Industrial Engineering, Operations Research

Kathleen M Bergen

Associate Research Scientist,

School for Environment and Sustainability


Methodologies: Data Visualization, Image Data Processing and Analysis, Spatio-Temporal Data Analysis
Applications: Ecological Research, Environmental Sciences, Sensors and Sensor Networks

Sol Bermann

Chief Information Security Officer, Executive Director - Information Assurance,

Information and Technology Services


Methodologies: Artificial Intelligence, Data Management, Data Security and Privacy, Digital Data Curation, Machine Learning
Applications: Cyber Security, Education, Law, Learning Analytics, Political Science, Social Sciences

Halil Bisgin

Assistant Professor,

Department of Computer Science - Flint


Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Image Data Processing and Analysis, Machine Learning, Natural Language Processing, Network Analysis
Applications: Bioinformatics, Genomics, Medical Informatics, Mobile Devices, Social Sciences

Michael Boehnke

Richard G Cornell Distinguished University Professor,

Biostatistics, School of Public Health


Methodologies: Algorithms, Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Biological Sciences, Genetics, Genomics

Andrei Boutyline

Assistant Professor,

Sociology


Methodologies: Machine Learning, Natural Language Processing, Network Analysis, Statistics, Survey Methodology
Applications: Social Sciences

Christopher Brooks

Research Assistant Professor,

School of Information
Director, Learning Analytics and Research in the Office of Digital Education & Innovation


Methodologies: Classification, Computational Tools for Data Science, Data Management, Data Mining, Database Systems and Infrastructure, Human-Computer Interaction, Machine Learning, Predictive Modeling
Applications: Computer Science, Education

Elizabeth Bruch

Associate Professor,

Sociology, LSA
Complex Systems, LSA


Methodologies: Dynamical Models
Applications: Behavioral Science, Social Sciences

Ceren Budak

Assistant Professor,

School of Information


Methodologies: Data Mining, Machine Learning, Network Analysis, Statistical Modeling
Applications: Behavioral Science, Economics, Social Sciences

Lorraine Buis

Associate Professor,

Department of Family Medicine


Methodologies: Classification, Data Mining, Human-Computer Interaction
Applications: Behavioral Science, Bioinformatics, Electronic Medical Record Data, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Medical Informatics, Mobile Devices, Precision Health, Public Health, Social Sciences

Eunshin Byon

Associate Professor,

Industrial and Operations Engineering, College of Engineering
Civil and Environmental Engineering, College of Engineering


Methodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis
Applications: Civic Infrastructure, Complex Systems, Energy Research, Environmental Sciences, Healthcare Management and Outcomes, Medical Informatics, Operations Research, Sensors and Sensor Networks

Michael Cafarella

Associate Professor,

EECS, College of Engineering
Institute for Social Research


Methodologies: Data Management, Data Mining, Data Quality, Database Systems and Infrastructure
Applications: Economics, Global Development

Jessica K. Camp

Assistant Professor,

Health and Health Services


Methodologies: Data Management, Data Mining, Econometrics, Statistical Inference, Statistics, Time Series Analysis
Applications: Behavioral Science, Clinical Research, Mental Health, Policy Research, Social Sciences, Survey Research

Neil Carter

Assistant Professor,

School for Environment and Sustainability


Methodologies: Causal Inference, Decision Science, Dynamical Models, Geographic Information Systems, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling
Applications: Complex Systems, Ecological Research, Environmental Sciences

Tim Cernak

Assistant Professor,

Medicinal Chemistry, College of Pharmacy
Chemistry, LSA
Graduate Program in Chemical Biology


Methodologies: Algorithms, Data Visualization, Optimization
Applications: Chemistry and Chemical Engineering, Medical Informatics

Lucia Cevidanes

Thomas and Doris Graber Professor of Dentistry, Associate Professor,

School of Dentistry


Methodologies: Artificial Intelligence, Data Management, Data Mining, Data Security and Privacy, Data Visualization, Decision Science, Deep Learning, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Pattern Analysis and Classification, Predictive Modeling, Statistical Modeling
Applications: Healthcare Management and Outcomes, Medical Imaging, Precision Health

Charu Chandra

Professor,

Decision Sciences and Supply Chain Management, College of Business


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Decision Science, Information Theory, Network Analysis
Applications: Energy Research, Global Development, Healthcare Management and Outcomes, Industrial Engineering, Management Science, Operations Research, Transportation Research

Sriram Chandrasekaran

Assistant Professor,

Biomedical Engineering, College of Engineering


Methodologies: Algorithms, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Statistical Inference
Applications: Bioinformatics, Biological Sciences, Genomics, Networks, Precision Health

Xiuli Chao

Professor,

Industrial & Operations Engineering
College of Engineering


Methodologies: Data-driven Optimization, Game Theory, Machine Learning, Queuing Theory, Stochastic Optimal Control, Stochastic Processes
Applications: Energy Research, Manufacturing, Service Systems, Supply Chain Management

Jowei Chen

Associate Professor,

Political Science, LSA
Center for Political Studies, Institute for Social Research


Methodologies: Geographic Information Systems
Applications: Political Science, Social Sciences

Yang Chen

Assistant Professor,

Statistics, LSA


Core Faculty

Methodologies: Algorithms, Statistical Inference
Applications: Astronomy and Cosmology, Biological Sciences

Lei Chen

Assistant Professor,

Department of Mechanical Engineering


Methodologies: Bayesian Methods, Deep Learning, Machine Learning, Optimization
Applications: Aerospace Engineering, Energy Research, Materials Science, Nanotechnology, Physics

Yi-Su Chen

Assistant Professor,

Operations Management, Ross School of Business


Methodologies: Longitudinal Data Analysis, Network Analysis, Statistics
Applications: Business Analytics, Complex Systems, Networks, Operations Research

Amy Cohn

Professor,

Industrial and Operations Engineering, College of Engineering
Center for Healthcare Engineering and Patient Safety (CHEPS)
Institute for Healthcare Policy and Innovation (IHPI)


Methodologies: Algorithms, Optimization
Applications: Healthcare Management and Outcomes, Operations Research, Transportation Research

Kevyn Collins-Thompson

Associate Professor,

School of Information
EECS, College of Engineering


Methodologies: Machine Learning, Natural Language Processing
Applications: Education, Learning Analytics

Jason Corso

Associate Professor,

EECS, College of Engineering


Methodologies: Image Data Processing and Analysis, Sparse Data Analysis
Applications: Computer Vision, Medical Imaging, Robotics

Kai S. Cortina

Professor,

Psychology, LSA
Combined Program in Education and Psychology


Methodologies: Causal Inference, Classification, Data Visualization, Image Data Processing and Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Children and Adolescents, Education, Human Development, Organizational Research, Social Sciences, Survey Research

William Currie

Professor,

School for Environment and Sustainability


Methodologies: Algorithms, Causal Inference, Dynamical Models, Statistical Modeling
Applications: Climate Research, Complex Systems, Ecological Research, Environmental Sciences, Physics, Social Sciences

Mark S. Daskin

Professor,

Industrial and Operations Engineering, College of Engineering


Methodologies: Algorithms, Network Analysis, Optimization
Applications: Networks, Operations Research, Transportation Research

Gerald Davis

Professor,

Management, Ross School of Business
Sociology, LSA
Institute for Social Research


Methodologies: Network Analysis
Applications: Networks, Organizational Research, Social Sciences

Matthew A. Davis

Assistant Professor,

Systems, Populations & Leadership, School of Nursing


Pamela Davis-Kean

Professor,

Psychology, LSA
Institute for Social Research


Associate Director

Methodologies: Data Collection Design, Data Management, Longitudinal Data Analysis, Missing Data and Imputation, Psychometrics, Statistical Inference, Statistical Modeling
Applications: Behavioral Science, Children and Adolescents, Education, Human Development, Mental Health, Population Sciences, Research Reproducibility, Social Sciences, Survey Research

Matthew J Delano

Assistant Professor Surgery,

Department of Surgery, Assistant Professor (Tenure Track)


Applications: Biological Sciences, Genomics

Walter Dempsey

Assistant Professor of Biostatistics, Assistant Research Professor at the Institute of Social Research,

Department of Biostatistics


Methodologies: Causal Inference, Network Analysis, Statistical Modeling
Applications: Behavioral Science, Networks, Social Sciences

Brian Denton

Associate Professor,

Industrial and Operations Engineering, College of Engineering
Urology, Michigan Medicine


Methodologies: Algorithms, Decision Science, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling
Applications: Industrial Engineering, Management Science, Operations Research

Harm Derksen

Professor,

Department of Mathematics


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Digital Data Curation, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistics, Tensor Analysis, Time Series Analysis
Applications: Bioinformatics, Computer Science, Computer Vision, Electrical Engineering, Electronic Medical Record Data, Genomics, Medical Imaging, Medical Informatics, Robotics, Sensors and Sensor Networks

Paramveer Dhillon

Assistant Professor,

School of Information


Methodologies: Causal Inference, Deep Learning, Econometrics, Machine Learning, Natural Language Processing, Statistical Inference
Applications: Computational Linguistics, Information Systems, Networks, Social Sciences

Ivo D. Dinov

Professor,

Computational Medicine and Bioinformatics
Human Behavior and Biological Sciences
Michigan Institute for Data Science (MIDAS)


Associate Director, Education and Training Sub-Committee

Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Management, Data Mining, Data Munging, Data Visualization, Decision Science, Deep Learning, Machine Learning, Mathematics, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Signal Processing, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Bioinformatics, Complex Systems, Education, Genomics, Healthcare Management and Outcomes, Mental Health

Kevin Dombkowski

Research Professor,

Pediatrics, Michigan Medicine
School of Public Health


Methodologies: Data Collection Design, Data Management, Data Mining, Real-time Data Processing
Applications: Children and Adolescents, Epidemiology, Healthcare Management and Outcomes, Population Sciences, Public Health

Nicholas Douville

Lecturer,

Anesthesiology


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Management, Deep Learning, Machine Learning, Missing Data and Imputation, Natural Language Processing, Real-time Data Processing, Statistical Modeling
Applications: Bioinformatics, Genetics, Genomics, Healthcare Management and Outcomes, Precision Health

Karthik Duraisamy

Associate Professor,

Aerospace Engineering, College of Engineering


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference
Applications: Aerospace Engineering

Ron Eglash

Professor,

School of Information


Methodologies: Artificial Intelligence, Human-Computer Interaction
Applications: Complex Systems, Economics, Education, Human Development, Social Sciences

Joseph Eisenberg

Professor and Chair of Epidemiology,

Epidemiology


Methodologies: Causal Inference, Dynamical Models, Geographic Information Systems
Applications: Public Health

Marisa Eisenberg

Assistant Professor,

School of Public Health


Issam El Naqa

Associate Professor,

Radiation Oncology, Michigan Medicine
Applied Physics, LSA


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Mining, Data Visualization, Decision Science, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Information Theory, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Statistical Modeling
Applications: Bioinformatics, Clinical Research, Genomics, Medical Informatics, Physics

Michael Elliott

Professor,

Biostatistics, School of Public Health
Survey Research Center


Methodologies: Bayesian Methods, Causal Inference, Data Collection Design, Data Security and Privacy, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics
Applications: Children and Adolescents, Epidemiology, Human Subjects Trials and Intervention Studies, Mental Health, Population Sciences, Social Sciences, Survey Research, Transportation Research

Birhanu Eshete

Assistant Professor,

Computer and Information Science, College of Engineering and Computer Science


Methodologies: Causal Inference, Classification, Data Security and Privacy, Deep Learning, Graph Theory and Graph-based Methods, Longitudinal Data Analysis, Machine Learning
Applications: Cyber Security

August (Gus) Evrard

Professor,

Physics and Astronomy, LSA


Methodologies: Computational Tools for Data Science
Applications: Astronomy and Cosmology, Physics

Xudong (Sherman) Fan

Professor,

Biomedical Engineering


Methodologies: Algorithms, Artificial Intelligence, Data Mining, Machine Learning, Signal Processing
Applications: Biological Sciences, Medical Imaging, Precision Health

Christopher Fariss

Assistant Professor,

Political Science


Methodologies: Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Network Analysis, Psychometrics, Statistical Inference, Statistical Modeling, Statistics
Applications: Law, Policy Research, Political Science, Social Sciences

Salar Fattahi

Assistant Professor,

Industrial and Operations Engineering


Methodologies: Algorithms, Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Machine Learning, Optimization, Sparse Data Analysis, Spatio-Temporal Data Analysis
Applications: Operations Research

Fred Feinberg

Professor,

Marketing, Ross School of Business
Statistics, LSA


Methodologies: Bayesian Methods, Decision Science, Dynamical Models, Machine Learning, Statistical Modeling
Applications: Finance Research, Marketing and Consumer Behavior Research

Fred Feng

Assistant Professor,

Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn


Methodologies: Causal Inference, Data Visualization, Human-Computer Interaction, Machine Learning, Predictive Modeling, Statistical Inference
Applications: Behavioral Science, Transportation Research

Jeff Fessler

Professor,

EECS, College of Engineering
Biomedical Engineering, College of Engineering
Radiology, Michigan Medicine


Thomas Finholt

Dean and Professor,

School of Information


Applications: Social Sciences

Carol Flannagan

Carol Flannagan

Research Professor,

Transportation Research Institute


Core Faculty, Management Committee

Methodologies: Bayesian Methods, Data Management, Data Visualization, Digital Data Curation, Heterogeneous Data Integration, Image Data Processing and Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Transportation Research

Nancy Fleischer

Associate Professor,

Epidemiology


Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Data Visualization, Econometrics, Geographic Information Systems, Heterogeneous Data Integration, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis
Applications: Epidemiology, Mental Health, Policy Research, Population Sciences, Public Health, Social Sciences, Survey Research

Danny Forger

Professor,

Mathematics, LSA
Center for Computational Medicine and Bioinformatics
Center for Systems Biology


Methodologies: Computational Tools for Data Science, Mathematics
Applications: Biological Sciences, Clinical Research, Mental Health, Mobile Devices, Precision Health, Sensors and Sensor Networks

David Fouhey

Assistant Professor,

Electrical Engineering and Computer Science


Methodologies: Artificial Intelligence, Deep Learning, Machine Learning, Pattern Analysis and Classification
Applications: Computer Vision, Robotics

Robert J. Franzese Jr.

Professor and Associate Chair,

Political Science, LSA


Methodologies: Dynamical Models, Econometrics, Network Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics
Applications: Economics, Global Development, Policy Research, Political Science, Social Sciences

Gary L. Freed

Professor of Pediatrics,

Pediatrics


Methodologies: Causal Inference, Data Management, Data Mining, Data Quality, Data Visualization, Econometrics, Geographic Information Systems, Longitudinal Data Analysis
Applications: Behavioral Science, Bioinformatics, Children and Adolescents, Policy Research, Public Health, Social Sciences, Survey Research

Johann Gagnon-Bartsch

Assistant Professor,

Statistics, LSA


Methodologies: Causal Inference, Classification, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Children and Adolescents, Genomics, Human Subjects Trials and Intervention Studies, Precision Health, Social Sciences, Survey Research

Andrzej T Galecki

Research Professor,

Institute of Gerontology, Michigan Medicine
Biostatistics, School of Public Health


Methodologies: Dynamical Models, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling
Applications: Clinical Research, Medical Informatics

William J. Gehring

Arthur F. Thurnau Professor of Psychology,

Psychology


Methodologies: Artificial Intelligence, Causal Inference, Decision Science, Machine Learning, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Signal Processing
Applications: Behavioral Science, Computer Science, Education, Learning Analytics, Mental Health, Psychology

Anne Ruggles Gere

Arthur Thurnau Professor of English and Gertrude Buck Collegiate Professor of Education,

Department of English


Methodologies: Longitudinal Data Analysis, Natural Language Processing
Applications: Education

Brenda Gillespie

Associate Director,

CSCAR
Biostatistics, School of Public Health


Methodologies: Data Collection Design, Data Visualization, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Statistical Modeling, Statistics
Applications: Bioinformatics, Biological Sciences, Clinical Research, Epidemiology

Christopher E. Gillies

Assistant Research Scientist,

Emergency Medicine


Methodologies: Artificial Intelligence, Bayesian Methods, Data Mining, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Natural Language Processing, Network Analysis, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Electronic Medical Record Data, Epidemiology, Genetics, Genomics, Healthcare Management and Outcomes, Medical Imaging, Medical Informatics, Precision Health

Pamela Giustinelli

Assistant Professor,

Survey Research Center for Social Research


Methodologies: Decision Science

Sharon Glotzer

Professor,

Chemical Engineering, College of Engineering


Applications: Chemistry and Chemical Engineering

Oleg Gnedin

Professor,

Astronomy


Methodologies: Computational Tools for Data Science, Data Visualization, Machine Learning, Statistical Modeling
Applications: Astronomy and Cosmology

Jessica Golbus

Cardiology Fellow,

Internal Medicine, Michigan Medicine


Applications: Human Subjects Trials and Intervention Studies, Mobile Devices

Bryan R. Goldsmith

Assistant Professor,

Chemical Engineering, College of Engineering


Methodologies: Data Mining, Predictive Modeling
Applications: Chemistry and Chemical Engineering, Energy Research, Materials Science

Jason Goldstick

Research Associate Professor,

Injury Prevention Center
Emergency Medicine


Methodologies: Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Behavioral Science, Environmental Sciences, Epidemiology, Psychology, Public Health, Social Sciences

Rich Gonzalez

Professor,

Psychology, LSA
Statistics, LSA
Marketing, Ross School of Business


Education and Training Sub-Committee

Methodologies: Data Visualization, Statistical Inference
Applications: Behavioral Science, Biological Sciences

Alex Gorodetsky

Assistant Professor,

Department of Aerospace Engineering


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Decision Science, Dynamical Models, High-Dimensional Data Analysis, Mathematics, Optimization, Statistical Inference, Tensor Analysis
Applications: Aerospace Engineering, Information Systems, Robotics

Andrew Grogan-Kaylor

Associate Professor,

School of Social Work
Co-PI
Child Violence and Trauma Laboratory


Methodologies: Bayesian Methods, Data Visualization, Longitudinal Data Analysis, Natural Language Processing
Applications: Children and Adolescents, Mental Health

Yuanfang Guan

Assistant Professor,

Computational Medicine and Bioinformatics, Michigan Medicine
Internal Medicine, Nephrology


Methodologies: Machine Learning, Network Analysis
Applications: Bioinformatics

Timothy C. Guetterman

Assistant Professor,

Family Medicine


Methodologies: Natural Language Processing
Applications: Medical Informatics

Emanuel Gull

Assistant Professor,

Physics, LSA


Methodologies: Algorithms, Bayesian Methods, High-Dimensional Data Analysis, Information Theory, Mathematics, Optimization, Tensor Analysis
Applications: Computer Science, Materials Science, Physics

Robert Hampshire

Associate Professor of Public Policy,

Gerald R. Ford School of Public Policy


Methodologies: Decision Science, Dynamical Models, Geographic Information Systems, Heterogeneous Data Integration, Predictive Modeling, Spatio-Temporal Data Analysis
Applications: Business Analytics, Civic Infrastructure, Management Science, Operations Research, Policy Research, Transportation Research, Urban Planning

David Hanauer

Clinical Associate Professor,

Learning Health Sciences


Methodologies: Computational Tools for Data Science, Data Mining, Natural Language Processing
Applications: Healthcare Management and Outcomes, Medical Informatics, Mobile Devices

Samuel K Handelman

Research Assistant Professor,

Internal Medicine, Gastroenterology, Michigan Medicine


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Bioinformatics, Biological Sciences, Climate Research, Complex Systems, Electronic Medical Record Data, Epidemiology, Genetics, Genomics, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Learning Health Systems, Medical Informatics, Population Sciences, Precision Health, Public Health

Edward G. Happ

Executive Fellow, Research Investigator,

School of Information


Applications: Management Science

Derek Harmon

Assistant Professor,

Strategy, Ross School of Business


Methodologies: Algorithms, Artificial Intelligence, Natural Language Processing
Applications: Business Analytics, Computational Linguistics, Economics, Finance Research, Management Science, Organizational Research

Marcelline Harris

Associate Professor,

Systems, Populations and Leadership, School of Nursing


Methodologies: Predictive Modeling
Applications: Clinical Research, Electronic Medical Record Data

Xuming He

Professor,

Statistics, LSA


Methodologies: Bayesian Methods, High-Dimensional Data Analysis, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Biological Sciences, Business Analytics, Climate Research, Clinical Research, Environmental Sciences, Epidemiology

Yongqun (Oliver) He

Associate Professor,

Microbiology and Immunology, Michigan Medicine


Methodologies: Bayesian Methods, Ontology
Applications: Biological Sciences, Genomics

Margaret Hedstrom

Professor,

School of Information
Institute for Social Research


Challenge Sub-Committee

Methodologies: Data Management, Digital Data Curation
Applications: Research Reproducibility, Social Sciences

Libby Hemphill

Research Associate Professor,

UMSI


Methodologies: Classification, Data Management, Data Munging, Deep Learning, Digital Data Curation, Machine Learning, Natural Language Processing, Pattern Analysis and Classification
Applications: Behavioral Science, Computer Science, Information Systems, Political Science, Social Sciences

Áine Heneghan

Associate Professor,

Music Theory, School of Music, Theatre & Dance


Methodologies: Computational Tools for Data Science
Applications: Music

Alfred Hero

Professor,

EECS, College of Engineering
Biomedical Engineering, College of Engineering
Statistics, LSA


Management Committee

Methodologies: Data Collection Design, Data Mining, Data Visualization, Heterogeneous Data Integration, Machine Learning, Network Analysis, Optimization, Signal Processing
Applications: Bioinformatics, Materials Science, Precision Health, Social Sciences

Todd I Herrenkohl

Professor,

School of Social Work


Methodologies: Data Mining, Longitudinal Data Analysis, Missing Data and Imputation, Survey Methodology
Applications: Education, Epidemiology, Human Development, Mental Health, Public Health, Social Sciences, Survey Research

Joseph Himle

Professor,

School of Social Work
Psychiatry, School of Medicine


Applications: Children and Adolescents, Clinical Research, Epidemiology, Mental Health

James R. Hines Jr.

,

L. Hart Wright Collegiate Professor of Law
Richard A. Musgrave Collegiate Professor of Economics


Methodologies: Algorithms, Econometrics, Natural Language Processing, Statistical Inference
Applications: Ecological Research, Economics, Law

Jana Hirschtick

Research Investigator,

Epidemiology


Methodologies: Data Collection Design, Data Management, Data Quality, Data Visualization, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology
Applications: Epidemiology, Policy Research, Public Health, Social Sciences, Survey Research

Zhen Hu

Assistant Professor,

Department of Industrial and Manufacturing Systems Engineering


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling, Time Series Analysis
Applications: Aerospace Engineering, Industrial Engineering, Networks, Sensors and Sensor Networks

Jingwen Hu

Associate Research Scientist,

Transportation Research Institute
Mechanical Engineering, College of Engineering


Methodologies: Computational Tools for Data Science
Applications: Transportation Research

Xun Huan

Assistant Professor,

Mechanical Engineering


Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Sparse Data Analysis, Statistical Inference
Applications: Aerospace Engineering, Energy Research, Physics

Muzammil M. Hussain

Assistant Professor,

Communication Studies, LSA
Institute for Social Research Center for Political Studies


Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, Human-Computer Interaction, Network Analysis
Applications: Business Analytics, Complex Systems, Global Development, Management Science, Marketing and Consumer Behavior Research, Operations Research, Organizational Research, Policy Research, Social Sciences

Edward Ionides

Professor,

Statistics, LSA


Methodologies: Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis

Deanna Isaman

Research Assistant Professor,

School of Nursing


Methodologies: Statistical Modeling, Statistics
Applications: Complex Systems, Healthcare Management and Outcomes, Public Health

Abigail Jacobs

Assistant Professor,

Information, School of Information
Complex Systems, College of Literature, Science, and the Arts


Methodologies: Bayesian Methods, Causal Inference, Graph Theory and Graph-based Methods, Machine Learning, Network Analysis, Statistical Inference
Applications: Ecological Research, Information Systems, Management Science, Networks, Social Sciences

H. V. Jagadish

Professor,

EECS, College of Engineering


Director

Methodologies: Data Management, Data Security and Privacy, Database Systems and Infrastructure, Heterogeneous Data Integration

Judy Jin

Professor,

Industrial and Operations Engineering, College of Engineering
Integrative Systems and Design, College of Engineering


Methodologies: Causal Inference, Decision Science, Heterogeneous Data Integration, Machine Learning, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Statistics, Tensor Analysis
Applications: Industrial Engineering, Materials Science, Operations Research, Sensors and Sensor Networks

Timothy D. Johnson

Professor,

Biostatistics, School of Public Health


Methodologies: Bayesian Methods, Classification, Dynamical Models, High-Dimensional Data Analysis, Image Data Processing and Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Biological Sciences, Children and Adolescents, Mental Health

Vicki Johnson-Lawrence

Assistant Professor,

Public Health and Health Sciences


Applications: Epidemiology, Human Development, Mental Health

Matthew Johnson-Roberson

Assistant Professor,

EECS, College of Engineering
Naval Architecture and Marine Engineering, College of Engineering


Methodologies: Data Visualization, Heterogeneous Data Integration, Machine Learning
Applications: Earth Science, Robotics, Sensors and Sensor Networks

David Jurgens

Assistant Professor,

School of Information


Methodologies: Data Mining, Deep Learning, Machine Learning, Natural Language Processing, Spatio-Temporal Data Analysis
Applications: Computational Linguistics, Computer Science, Human Subjects Trials and Intervention Studies, Population Sciences, Social Sciences

Jack D. Kalbfleisch

Professor Emeritus,

Biostatistics, School of Public Health
Statistics, LSA


Methodologies: Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics
Applications: Epidemiology, Healthcare Management and Outcomes, Operations Research, Population Sciences

Hyun Min Kang

Associate Professor,

Biostatistics, School of Public Health


Methodologies: Algorithms, Computational Tools for Data Science, Data Visualization, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistics
Applications: Bioinformatics, Computer Science, Genetics, Genomics, Precision Health

Jian Kang

Associate Professor,

Biostatistics


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis
Applications: Bioinformatics, Epidemiology, Mental Health, Networks, Public Health

Steven J. Katz

Professor,

Internal Medicine, School of Public Health


Methodologies: Longitudinal Data Analysis, Natural Language Processing, Survey Methodology
Applications: Climate Research, Epidemiology, Precision Health

Matthew Kay

Assistant Professor,

School of Information
Computer Science and Engineering, College of Engineering


Methodologies: Bayesian Methods, Data Visualization, Decision Science, Human-Computer Interaction, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Computer Science, Human Subjects Trials and Intervention Studies, Research Reproducibility, Social Sciences, Survey Research

Branko Kerkez

Assistant Professor,

Civil and Environmental Engineering, College of Engineering


Applications: Civic Infrastructure, Environmental Sciences, Sensors and Sensor Networks, Urban Planning

Marouane Kessentini

Assistant Professor,

Computer and Information Science, College of Engineering and Computer Science


Methodologies: Artificial Intelligence, Computational Tools for Data Science, Optimization

James Kibbie

University Organist, Professor and Chair,

Organ, School of Music, Theatre & Dance


Applications: Music

John Kieffer

Professor,

Materials Science and Engineering, College of Engineering


Methodologies: Predictive Modeling
Applications: Materials Science

Jinseok Kim

Research Assistant Professor,

Institute for Social Research


Methodologies: Data Quality, Heterogeneous Data Integration, Machine Learning, Network Analysis
Applications: Complex Systems, Computer Science, Networks, Policy Research, Social Sciences

Aaron A. King

Professor,

Ecology and Evolutionary Biology


Methodologies: Algorithms, Causal Inference, Computational Tools for Data Science, Data Management, Data Munging, Data Security and Privacy, Data Visualization, Database Systems and Infrastructure, Deep Learning, Digital Data Curation, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Predictive Modeling, Signal Processing, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Bioinformatics, Biological Sciences, Complex Systems, Ecological Research, Epidemiology, Genomics, Population Sciences, Precision Health, Public Health, Research Reproducibility

Barbara Koremenos

Professor,

Political Science


Applications: Law, Policy Research, Political Science

Antonios M. Koumpias

Assistant Professor,

Social Sciences, College of Arts, Sciences, and Letters


Methodologies: Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning, Time Series Analysis
Applications: Behavioral Science, Economics, Healthcare Management and Outcomes, Policy Research, Public Health, Social Sciences

Danai Koutra

Assistant Professor,

Computer Science and Engineering, College of Engineering


Methodologies: Computational Tools for Data Science, Data Mining, Data Visualization, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, Network Analysis, Optimization
Applications: Mental Health, Networks, Social Sciences

Dr. Amanda Kowalski

Gail Wilensky Professor of Applied Economics and Public Policy,

Department of Economics


Methodologies: Causal Inference, Computational Tools for Data Science, Econometrics, Statistical Inference
Applications: Economics, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Precision Health, Public Health

Anna Kratz

Assistant Professor,

Physical Medicine and Rehabilitation, Michigan Medicine
Center for Clinical Outcomes Development and Application (CODA)


Methodologies: Data Visualization, Machine Learning, Signal Processing, Statistical Modeling
Applications: Behavioral Science, Clinical Research, Healthcare Management and Outcomes, Social Sciences

Aradhna Krishna

Professor,

Marketing, Ross School of Business


Andrew Krumm

Assistant Professor,

Michigan Medicine, Learning Health Sciences


Methodologies: Data Mining, Data Munging, Data Quality, Data Visualization, Machine Learning, Predictive Modeling, Psychometrics, Statistical Inference, Statistical Modeling, Statistics
Applications: Education, Learning Analytics, Learning Health Systems

Kenichi Kuroda

Associate Professor,

School of Dentistry


Methodologies: Artificial Intelligence, Machine Learning
Applications: Biological Sciences, Materials Science, Nanotechnology, Physics

Jaerock Kwon

Assistant Professor,

University of Michigan-Dearborn


Methodologies: Artificial Intelligence, Deep Learning, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Pattern Analysis and Classification
Applications: Computer Vision, Medical Imaging, Mobile Devices, Robotics

Jeffrey C. Lagarias

Professor,

Mathematics, LSA


Methodologies: Algorithms, Information Theory, Mathematics, Network Analysis, Number Theory, Optimization
Applications: Materials Science

Carl Lagoze

Associate Professor,

School of Information


Ronald Gary Larson

AH White Distinguished University Professor,

Chemical Engineering


Methodologies: Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods
Applications: Chemistry and Chemical Engineering, Materials Science

Walter S. Lasecki

Assistant Professor,

Computer Science and Engineering, College of Engineering
School of Information


Methodologies: Artificial Intelligence, Decision Science, Human-Computer Interaction, Machine Learning, Natural Language Processing
Applications: Computer Science, Management Science, Transportation Research

Ho-Joon Lee

Research Investigator,

Molecular and Integrative Physiology, Michigan Medicine


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Network Analysis, Number Theory, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis
Applications: Bioinformatics, Biological Sciences, Complex Systems, Genomics, Medical Informatics, Nanotechnology, Networks, Physics, Precision Health, Research Reproducibility

Jon Lee

G. Lawton and Louise G. Johnson Professor,

Industrial and Operations Engineering, College of Engineering


Methodologies: Algorithms, Graph Theory and Graph-based Methods, Information Theory, Mathematics, Optimization, Spatio-Temporal Data Analysis
Applications: Business Analytics, Energy Research, Management Science, Operations Research, Sensors and Sensor Networks

Honglak Lee

Associate Professor,

Computer Science and Engineering, College of Engineering


Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Machine Learning
Applications: Computer Vision

Sunghee Lee

Research Associate Professor,

Institute for Social Research, Survey Research Center


Methodologies: Data Collection Design, Data Quality, Database Systems and Infrastructure, Longitudinal Data Analysis, Network Analysis, Statistical Inference, Survey Methodology
Applications: Behavioral Science, Mental Health, Mobile Devices, Networks, Policy Research, Population Sciences, Public Health, Research Reproducibility, Social Sciences, Survey Research

Peter Lenk

Professor,

Technology and Operations, Ross School of Business


Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Mining, Decision Science, Dynamical Models, Econometrics, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Business Analytics, Finance Research, Management Science, Marketing and Consumer Behavior Research

Margaret C. Levenstein

Director,

Inter-university Consortium for Political and Social Research
Michigan Federal Statistical Research Data Center
School of Information
Survey Research Center, Institute for Social Research
Ross School of Business


Management Committee

Methodologies: Data Security and Privacy
Applications: Economics, Organizational Research, Social Sciences

Elizaveta Levina

Vijay Nair Collegiate Professor,

Statistics, LSA


Methodologies: Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Sparse Data Analysis, Statistical Inference, Statistical Modeling, Statistics
Applications: Networks

Jun Li

Assistant Professor,

Technology and Operations, Ross School of Business


Methodologies: Causal Inference, Econometrics, Network Analysis, Statistics
Applications: Business Analytics, Finance Research, Healthcare Management and Outcomes, Marketing and Consumer Behavior Research, Networks

Jun Li

Professor,

Computational Medicine and Bioinformatics, Michigan Medicine
Human Genetics, Michigan Medicine


Core Faculty

Methodologies: Heterogeneous Data Integration, High-Dimensional Data Analysis, Missing Data and Imputation
Applications: Biological Sciences, Genetics, Genomics, Mental Health

Weiqi Li

Assistant Professor,

Management


Methodologies: Machine Learning, Mathematics, Optimization

Yi Li

Professor,

Biostatistics, School of Public Health
Kidney Epidemiology and Cost Center


Methodologies: High-Dimensional Data Analysis

Roderick Little

Professor,

Biostatistics, School of Public Health
Institute for Social Research
Statistics, LSA


Methodologies: Bayesian Methods, Causal Inference, Missing Data and Imputation, Statistical Modeling, Survey Methodology
Applications: Behavioral Science, Climate Research, Epidemiology, Mental Health, Population Sciences, Social Sciences, Survey Research

Mingyan Liu

Professor,

EECS, College of Engineering


Methodologies: Causal Inference, Data Mining, Decision Science, Machine Learning, Network Analysis, Optimization, Statistical Modeling
Applications: Computer Science, Cyber Security

Zhongming Liu

Associate Professor,

Biomedical Engineering


Methodologies: Algorithms, Artificial Intelligence, Deep Learning, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Signal Processing, Spatio-Temporal Data Analysis, Statistical Inference
Applications: Bioinformatics, Computational Linguistics, Computer Vision, Medical Imaging, Precision Health, Psychology

Xuefeng (Chris) Liu

Associate Professor,

Nursing, School of Nursing
Institute for Healthcare Policy and Innovation


Methodologies: Bayesian Methods, Causal Inference, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling, Statistics
Applications: Clinical Research, Electronic Medical Record Data, Epidemiology

Zhixin (Jason) Liu

Associate Professor,

College of Business, University of Michigan-Dearborn


Methodologies: Algorithms, Decision Science, Optimization, Statistics, Time Series Analysis
Applications: Business Analytics, Operations Research

Jie Liu

Assistant Professor,

Computational Medicine and Bioinformatics


Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference
Applications: Bioinformatics, Genetics, Genomics, Medical Informatics

Henry Liu

Professor,

Civil and Environmental Engineering, College of Engineering
Transportation Research Institute


Methodologies: Artificial Intelligence, Data Mining, Machine Learning
Applications: Transportation Research

Hernán López-Fernández

Associate Professor and Associate Curator of Fishes,

Ecology and Evolutionary Biology
Program in the Environment


Methodologies: Data Collection Design, Data Management, Database Systems and Infrastructure, Digital Data Curation, Heterogeneous Data Integration, Image Data Processing and Analysis, Longitudinal Data Analysis, Spatio-Temporal Data Analysis, Statistical Modeling
Applications: Bioinformatics, Biological Sciences, Ecological Research, Environmental Sciences

Vahid Lotfi

Senior Vice Provost and Professor,

Management Sciences, Flint School of Management


Methodologies: Classification, Data Mining, Optimization, Predictive Modeling
Applications: Business Analytics, Management Science, Operations Research, Social Sciences

Jin Lu

Assistant Professor,

Department of Computer and Information Science, College of Engineering and Computer Science


Methodologies: Algorithms, Data Mining, Deep Learning, Heterogeneous Data Integration, Machine Learning, Missing Data and Imputation, Optimization
Applications: Bioinformatics, Computer Vision, Genomics, Mental Health

Jerome P. Lynch

Professor, Donald Malloure Department Chair,

Civil and Environmental Engineering, College of Engineering
EECS, College of Engineering


Methodologies: Algorithms, Bayesian Methods, Classification, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Dynamical Models, Image Data Processing and Analysis, Machine Learning, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Spatio-Temporal Data Analysis, Time Series Analysis
Applications: Behavioral Science, Civic Infrastructure, Complex Systems, Computer Vision, Education, Electrical Engineering, Environmental Sciences, Nanotechnology, Sensors and Sensor Networks, Transportation Research, Urban Planning

Di Ma

Associate Professor,

Computer and Information Science, College of Engineering and Computer Science


Methodologies: Data Security and Privacy

Puneet Manchanda

Professor,

Marketing, Ross School of Business


Methodologies: Bayesian Methods, Causal Inference, Data Mining, Dynamical Models, Econometrics, Machine Learning, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling
Applications: Business Analytics, Economics, Management Science, Marketing and Consumer Behavior Research, Medical Informatics, Mobile Devices, Networks

Ward B. Manchester

Research Professor,

Climate and Space Science and Engineering


Methodologies: Classification, Data Mining, Predictive Modeling
Applications: Physics

Robert Manduca

Assistant Professor,

Sociology


Methodologies: Data Visualization, Geographic Information Systems, Machine Learning, Spatio-Temporal Data Analysis
Applications: Economics, Policy Research, Population Sciences, Social Sciences, Urban Planning

Murali Mani

Professor,

Computer Science


Methodologies: Algorithms, Data Management, Data Visualization
Applications: Computer Science

Z. Morley Mao

Professor,

Computer Science Engineering, College of Engineering


Methodologies: Machine Learning
Applications: Computer Science, Cyber Security, Mobile Devices, Networks

John E Marcotte

Archivist; Clinical Adjunct,

Institute for Social Research, School of Nursing


Methodologies: Algorithms, Computational Tools for Data Science, Data Management, Data Security and Privacy, Digital Data Curation, Statistics, Survey Methodology
Applications: Policy Research, Population Sciences, Social Sciences, Survey Research

Jason Mars

Assistant Professor,

Computer Science and Engineering, College of Engineering


Methodologies: Artificial Intelligence, Data Collection Design, Deep Learning, Machine Learning, Natural Language Processing
Applications: Computer Science

Neda Masoud

Assistant Professor,

Civil and Environmental Engineering, College of Engineering


Methodologies: Algorithms, Classification, Computational Tools for Data Science, Data Mining, Decision Science, Graph Theory and Graph-based Methods, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing
Applications: Transportation Research

Heather B. Mayes

Assistant Professor,

Chemical Engineering, College of Engineering


Methodologies: Data Visualization
Applications: Chemistry and Chemical Engineering

Charles Mayo

Associate Professor,

Radiation Oncology, Michigan Medicine


Methodologies: Machine Learning

Brian P. McCall

Professor,

Education, School of Education
Economics, LSA


Methodologies: Dynamical Models, Econometrics, Optimization, Statistics
Applications: Economics, Education, Social Sciences

Jeffrey S. McCullough

Associate Professor,

Health Management and Policy, School of Public Health


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning
Applications: Economics, Healthcare Management and Outcomes, Precision Health, Social Sciences

Timothy McKay

Professor,

Physics, LSA
Astronomy, LSA
Education, School of Education


Challenge Sub-Committee

Methodologies: Algorithms, Causal Inference, Classification, Data Collection Design, Data Munging, Data Visualization, Decision Science, Human-Computer Interaction, Missing Data and Imputation, Natural Language Processing, Statistical Inference
Applications: Astronomy and Cosmology, Behavioral Science, Education, Human Subjects Trials and Intervention Studies, Learning Analytics, Physics

Walter Mebane

Professor,

Political Science, LSA
Center for Political Studies
Statistics, LSA


Methodologies: Geographic Information Systems, Machine Learning, Statistics
Applications: Political Science, Social Sciences

Qiaozhu Mei

Associate Professor,

School of Information
EECS, College of Engineering


Methodologies: Data Mining, Machine Learning, Natural Language Processing, Network Analysis
Applications: Medical Informatics, Social Sciences

Niccolò Meneghetti

Assistant Professor,

Department of Computer and Information Science, University of Michigan-Dearborn


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Data Management, Data Quality, Data Security and Privacy, Data Visualization, Database Systems and Infrastructure, Heterogeneous Data Integration, Missing Data and Imputation, Optimization, Statistical Inference, Statistical Modeling, Statistics

Eric Michielssen

Professor,

EECS, College of Engineering


Methodologies: Algorithms, Mathematics
Applications: Physics

Rada Mihalcea

Professor,

EECS, College of Engineering


Core Faculty, Management Committee

Methodologies: Artificial Intelligence, Computational Tools for Data Science, Graph Theory and Graph-based Methods, Human-Computer Interaction, Machine Learning, Natural Language Processing
Applications: Computational Linguistics, Learning Analytics, Social Sciences

Christopher Miller

Assistant Professor,

Astronomy, LSA
Physics, LSA


Methodologies: Bayesian Methods, Classification, Data Mining, Mathematics, Statistics
Applications: Astronomy and Cosmology

Gregory S. Miller

Ernst and Young Professor of Accounting,

Ross School of Business


Methodologies: Artificial Intelligence, Causal Inference, Data Collection Design, Data Quality, Econometrics, Information Theory, Machine Learning, Missing Data and Imputation, Natural Language Processing, Statistical Inference, Statistics
Applications: Behavioral Science, Business Analytics, Computational Linguistics, Economics, Information Systems, Social Sciences

Brian Min

Associate Professor,

Political Science, LSA
Center for Political Studies
Institute for Social Research


Methodologies: Image Data Processing and Analysis
Applications: Energy Research, Political Science

Aditi Misra

Assistant Research Scientist,

University of Michigan Transportation Research Institute


Methodologies: Artificial Intelligence, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Decision Science, Deep Learning, Econometrics, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Ontology, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Survey Methodology
Applications: Behavioral Science, Civic Infrastructure, Complex Systems, Economics, Energy Research, Human Subjects Trials and Intervention Studies, Marketing and Consumer Behavior Research, Mobile Devices, Transportation Research, Urban Planning

Colter Mitchell

Faculty Associate,

Population Studies Center
Survey Research Center
Institute for Social Research


Methodologies: Heterogeneous Data Integration
Applications: Behavioral Science, Social Sciences

Zeina Mneimneh

Assistant Research Scientist,

Survey Research Center


Methodologies: Data Collection Design, Missing Data and Imputation, Survey Methodology
Applications: Social Sciences, Survey Research

Victoria Morckel

Associate Professor,

Geography, Planning, & Environment


Methodologies: Data Visualization, Econometrics, Geographic Information Systems, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis
Applications: Policy Research, Population Sciences, Social Sciences, Urban Planning

Jeffrey Morenoff

Professor,

Sociology


Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Digital Data Curation, Longitudinal Data Analysis, Missing Data and Imputation, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Survey Methodology
Applications: Political Science, Social Sciences, Survey Research

Emily Mower Provost

Assistant Professor,

Computer Science and Engineering, College of Engineering


Methodologies: Artificial Intelligence, Classification, Data Collection Design, Deep Learning, Machine Learning, Pattern Analysis and Classification
Applications: Computer Science, Mental Health

Barzan Mozafari

Barzan Mozafari

Morris Wellman Assistant Professor,

EECS, College of Engineering


Methodologies: Algorithms, Causal Inference, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistics, Time Series Analysis
Applications: Business Analytics, Complex Systems, Computer Science, Marketing and Consumer Behavior Research, Medical Informatics, Transportation Research

Bhramar Mukherjee

Professor,

Biostatistics, School of Public Health


Core Faculty, Faculty Recruitment and Engagement Sub-Committee

Methodologies: Bayesian Methods, Missing Data and Imputation, Statistics
Applications: Epidemiology, Genetics, Precision Health, Public Health

Somangshu Mukherji

Assistant Professor,

Music Theory, School of Music, Theatre & Dance


Methodologies: Information Theory, Machine Learning, Natural Language Processing
Applications: Computational Linguistics, Music, Psychology

Yi Lu Murphey

Professor,

Electrical and Computer Engineering, College of Engineering and Computer Science


Methodologies: Machine Learning, Pattern Analysis and Classification
Applications: Computer Vision, Electrical Engineering, Robotics, Transportation Research

Raj Rao Nadakuditi

Associate Professor,

EECS, College of Engineering


Core Faculty, Education and Training Sub-Committee

Methodologies: High-Dimensional Data Analysis, Machine Learning, Mathematics, Signal Processing, Time Series Analysis
Applications: Complex Systems, Networks, Sensors and Sensor Networks

Viswanath Nagarajan

Associate Professor,

Industrial and Operations Engineering, College of Engineering


Methodologies: Algorithms, Optimization
Applications: Industrial Engineering, Operations Research

Inbal (Billie) Nahum-Shani

Research Associate Professor,

Institute for Social Research


Methodologies: Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling
Applications: Behavioral Science

Kayvan Najarian

Professor,

Computational Medicine and Bioinformatics, Emergency Medicine


Associate Director

Methodologies: Machine Learning, Signal Processing
Applications: Bioinformatics, Medical Imaging, Medical Informatics, Sensors and Sensor Networks

Brahmajee Nallamothu

Professor,

Internal Medicine, Michigan Medicine
Institute for Healthcare Policy and Innovation


Core Faculty

Methodologies: Data Mining, Machine Learning, Predictive Modeling
Applications: Clinical Research, Healthcare Management and Outcomes, Precision Health

Romesh P. Nalliah

Director, Pre-Doctoral Clinical Education,

School of Dentistry


Methodologies: Data Management, Data Mining, Data Visualization, Optimization
Applications: Business Analytics, Economics, Education, Epidemiology, Healthcare Management and Outcomes, Learning Analytics, Learning Health Systems, Management Science, Medical Informatics, Mental Health, Operations Research, Organizational Research, Policy Research, Population Sciences

Satish Narayanasamy

Associate Professor,

EECS, College of Engineering


Faculty Recruitment and Engagement Sub-Committee

Methodologies: Machine Learning
Applications: Computer Science, Cyber Security, Mobile Devices

Joshua P Newell

Associate Professor,

School for Environment and Sustainability


Methodologies: Data Visualization, Geographic Information Systems, Machine Learning, Spatio-Temporal Data Analysis, Survey Methodology
Applications: Environmental Sciences, Survey Research, Urban Planning

Long Nguyen

Professor,

Statistics, LSA
EECS, College of Engineering


Faculty Recruitment and Engagement Sub-Committee, Management Committee

Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Decision Science, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis
Applications: Computer Science

Quan Nguyen

Research Investigator,

School of Information


Methodologies: Network Analysis, Time Series Analysis
Applications: Education, Learning Analytics

Jim Omartian

Assistant Professor of Accounting,

Ross School of Business


Methodologies: Causal Inference, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference
Applications: Business Analytics, Economics, Education, Epidemiology, Finance Research, Information Systems, Management Science, Mobile Devices, Operations Research, Social Sciences

Gilbert S. Omenn

Professor,

Computational Medicine and Bioinformatics
Human Genetics, Molecular Medicine & Genetics
School of Public Health


Methodologies: Heterogeneous Data Integration
Applications: Biological Sciences, Genetics, Genomics, Medical Informatics, Precision Health

Gabor Orosz

Associate Professor,

Department of Mechanical Engineering


Methodologies: Dynamical Models, Machine Learning
Applications: Robotics, Transportation Research

Luis E. Ortiz

Assistant Professor,

Computer and Information Science, College of Engineering and Computer Science


Methodologies: Artificial Intelligence, Computational Tools for Data Science, Machine Learning, Mathematics, Statistics
Applications: Biological Sciences, Complex Systems, Computer Science, Computer Vision, Finance Research, Mobile Devices, Networks, Social Sciences

Jason Owen-Smith

Professor,

Institute for Research on Innovation and Science (IRIS)
Sociology, LSA
Survey Research Center
Institute for Social Research


Methodologies: Data Management, Data Security and Privacy, Data Visualization, Network Analysis
Applications: Education, Learning Analytics, Management Science, Networks, Organizational Research, Social Sciences

Necmiye Ozay

Assistant Professor,

EECS, College of Engineering


Methodologies: Computational Tools for Data Science, Decision Science, Dynamical Models, Optimization, Real-time Data Processing
Applications: Complex Systems, Computer Science, Networks, Transportation Research

Yulin Pan

Assistant Professor,

Department of Naval Architecture and Marine Engineering


Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Decision Science, Deep Learning, Dynamical Models, High-Dimensional Data Analysis, Machine Learning, Mathematics, Number Theory, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Complex Systems, Environmental Sciences, Physics

Shobita Parthasarathy

Professor and Director, Science, Technology, and Public Policy Program,

Ford School of Public Policy


Methodologies: Algorithms, Artificial Intelligence, Classification, Data Mining, Data Quality, Machine Learning
Applications: Biological Sciences, Children and Adolescents, Civic Infrastructure, Environmental Sciences, Epidemiology, Genetics, Genomics, Global Development, Human Development, Law, Mental Health, Policy Research, Precision Health, Public Health

Josh Pasek

Assistant Professor,

Communication Studies, LSA
Center for Political Studies, Institute for Social Research


Core Faculty

Methodologies: Bayesian Methods, Causal Inference, Data Visualization, Human-Computer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Behavioral Science, Marketing and Consumer Behavior Research, Policy Research, Political Science, Social Sciences, Survey Research

Ashley Payne

Assistant Professor,

Climate and Space Sciences and Engineering


Methodologies: Algorithms, Classification, Data Management, Data Visualization, Image Data Processing and Analysis, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Time Series Analysis
Applications: Climate Research, Earth Science

Huei Peng

Professor,

Mechanical Engineering, Mcity


Methodologies: Artificial Intelligence, Dynamical Models
Applications: Transportation Research

Sandun Perera

Assistant Professor,

School of Management


Applications: Finance Research, Marketing and Consumer Behavior Research, Operations Research

Brian Perron

Associate Professor,

School of Social Work


Methodologies: Data Management, Data Visualization, Digital Data Curation
Applications: Mental Health, Organizational Research

Mark Peterson

Assistant Professor,

Physical Medicine and Rehabilitation, Michigan Medicine
Neuroscience Graduate Program


Amy Pienta

Research Scientist,

ICPSR


Methodologies: Data Management, Data Quality, Data Security and Privacy, Longitudinal Data Analysis
Applications: Social Sciences

Timothy Pletcher

Executive Director,

Michigan Health Information Network
Learning Health Sciences, Michigan Medicine


Methodologies: Data Mining, Dynamical Models, Image Data Processing and Analysis
Applications: Learning Health Systems

Robert Ploutz-Snyder

Research Professor, Director Applied Biostatistics Laboratory & Data Management Core,

School of Nursing


Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Data Visualization, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics
Applications: Biological Sciences, Clinical Research, Epidemiology, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Public Health, Research Reproducibility, Space Science

Keshav Pokhrel

Assistant Professor,

Statistics, LSA


Methodologies: Predictive Modeling, Time Series Analysis

Stephen M. Pollock

Professor Emeritus,

Industrial and Operations Engineering, College of Engineering


Methodologies: Bayesian Methods, Decision Science, Optimization
Applications: Healthcare Management and Outcomes, Operations Research, Transportation Research

Vitaliy Popov

Assistant Professor,

Medical School, Department of Learning Health Sciences


Methodologies: Human-Computer Interaction, Pattern Analysis and Classification, Signal Processing, Statistical Modeling
Applications: Behavioral Science, Clinical Research, Education, Learning Analytics, Learning Health Systems, Sensors and Sensor Networks, Social Sciences

Laura Power

Clinical Assistant Professor,

Department of Epidemiology, School of Public Health


Applications: Epidemiology, Population Sciences, Public Health

S. Sandeep Pradhan

Professor,

EECS


Methodologies: Algorithms, Information Theory, Statistical Inference
Applications: Electrical Engineering, Electronic Medical Record Data, Epidemiology, Information Systems, Sensors and Sensor Networks

Atul Prakash

Professor,

EECS, College of Engineering


Methodologies: Classification, Data Security and Privacy, Deep Learning, Optimization
Applications: Computer Science, Cyber Security, Information Systems, Networks, Sensors and Sensor Networks

Nicholson Price

Assistant Professor of Law,

School of Law


Methodologies: Algorithms, Artificial Intelligence, Data Security and Privacy, Deep Learning, Machine Learning
Applications: Bioinformatics, Biological Sciences, Electronic Medical Record Data, Genetics, Genomics, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Law, Learning Health Systems, Medical Imaging, Medical Informatics, Mobile Devices

Amiyatosh Purnanandam

Michael Stark Professor of Finance, Chair of Finance Area,

Ross School of Business


Methodologies: Causal Inference, Econometrics, High-Dimensional Data Analysis, Statistical Inference, Statistical Modeling
Applications: Economics, Finance Research

Kevin Quinn

Professor,

Political Science, LSA


Faculty Recruitment and Engagement Sub-Committee

Methodologies: Statistics
Applications: Law, Political Science

Jenny Radesky

Assistant Professor,

University of Michigan Medical School


Methodologies: Human-Computer Interaction
Applications: Behavioral Science, Children and Adolescents, Human Development, Mental Health, Mobile Devices

Trivellore E. Raghunathan

Director and Research Professor,

Survey Research Center
Biostatistics, School of Public Health


Methodologies: Bayesian Methods, Data Security and Privacy, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Modeling, Statistics, Survey Methodology
Applications: Economics, Epidemiology, Healthcare Management and Outcomes, Social Sciences, Survey Research

Indika Rajapakse

Associate Professor,

Computational Medicine and Bioinformatics, Medical School
Mathematics, LSA


Applications: Bioinformatics

Venkat Raman

Associate Professor,

Aerospace Engineering, College of Engineering


Methodologies: Predictive Modeling
Applications: Aerospace Engineering, Materials Science

Arvind Rao

Associate Professor,

Computational Medicine and Bioinformatics, Michigan Medicine
Radiation Oncology, Michigan Medicine
Biomedical Engineering, College of Engineering


Core Faculty

Methodologies: Data Mining, Heterogeneous Data Integration, Image Data Processing and Analysis
Applications: Clinical Research, Genomics, Medical Imaging

Jeffrey Regier

Assistant Professor,

Statistics


Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Data Mining, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Astronomy and Cosmology, Bioinformatics, Biological Sciences, Climate Research, Ecological Research, Electronic Medical Record Data, Genomics, Learning Health Systems, Medical Imaging, Mental Health, Physics, Precision Health, Sensors and Sensor Networks, Space Science

Rudy J. Richardson

Dow Professor Emeritus of Toxicology and Associate Professor Emeritus of Neurology,

Dow Professor Emeritus of Toxicology


Methodologies: Computational Tools for Data Science, Data Visualization
Applications: Bioinformatics, Biological Sciences, Chemistry and Chemical Engineering

Ya’acov Ritov

Professor,

Department of Statistics


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Signal Processing, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Electrical Engineering, Epidemiology, Law, Operations Research, Transportation Research

Daniel Romero

Associate Professor,

School of Information
Complex Systems, LSA
Electrical and Computer Engineering, College of Engineering


Methodologies: Data Mining, Machine Learning

Joseph Ryan

Associate Professor,

School of Social Work
Center for Political Studies
Population Studies Center


Methodologies: Data Visualization
Applications: Children and Adolescents, Human Development, Human Subjects Trials and Intervention Studies, Policy Research

Greg Rybarczyk

Associate Professor,

Geography, Planning and Environment


Methodologies: Data Management, Data Visualization, Geographic Information Systems, Human Wayfinding, Network Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Modeling, Travel Demand Modeling
Applications: Transportation Research, Urban Planning

Romesh Saigal

Professor,

Industrial & Operations Engineering, College of Engineering


Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Collection Design, Deep Learning, Econometrics, Mathematics, Optimization, Predictive Modeling, Time Series Analysis
Applications: Finance Research, Healthcare Management and Outcomes, Operations Research, Transportation Research

Perry Samson

Professor,

Climate and Space Science, College of Engineering
School of Information


Methodologies: Data Mining, Human-Computer Interaction, Predictive Modeling
Applications: Climate Research, Learning Analytics

P.T. Sathe

Lecturer,

Engineering


Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Data Mining, Decision Science, Pattern Analysis and Classification
Applications: Genomics, Operations Research, Precision Health

Ramon Satyendra

Associate Professor,

Music Theory, School of Music, Theatre & Dance


Methodologies: Mathematics
Applications: Music

Matthew Schipper

Research Professor,

Radiation Oncology, Michigan Medicine
Biostatistics, School of Public Health


Methodologies: Statistics
Applications: Human Subjects Trials and Intervention Studies, Precision Health

Patrick Schloss

Frederick G Novy Collegiate Professor of Microbiome Research,

Microbiology & Immunology, Michigan Medicine


Methodologies: Causal Inference, Classification, Computational Tools for Data Science, Data Management, Data Mining, Data Munging, Data Quality, Data Visualization, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Time Series Analysis
Applications: Bioinformatics, Biological Sciences, Ecological Research, Education, Genomics, Research Reproducibility

Santiago Schnell

Professor,

Molecular and Integrative Physiology, Michigan Medicine
Computational Medicine and Bioinformatics, Michigan Medicine


Methodologies: Algorithms, Machine Learning, Mathematics, Statistical Modeling
Applications: Biological Sciences, Research Reproducibility

Sarita Schoenebeck

Associate Professor,

School of Information


Methodologies: Human-Computer Interaction
Applications: Information Systems

Eric Schwartz

Associate Professor,

Marketing, Ross School of Business


Methodologies: Bayesian Methods, Decision Science, Machine Learning, Optimization
Applications: Marketing and Consumer Behavior Research

Clayton Scott

Associate Professor,

EECS, College of Engineering
Statistics, LSA


Methodologies: Algorithms, Machine Learning

Nicole Seiberlich

Associate Professor, Co-Director of Michigan Institute for Imaging Technology and Translation,

Radiology


Methodologies: Algorithms, Artificial Intelligence, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Data Visualization, Deep Learning, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Mathematics, Natural Language Processing, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Time Series Analysis
Applications: Clinical Research, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Medical Imaging, Physics, Precision Health, Public Health, Research Reproducibility

Lawrence Seiford

Professor,

Industrial and Operations Engineering, College of Engineering
Goff Smith Co-Director, Tauber Institute for Global Operations


Methodologies: Data Visualization, Decision Science, Econometrics, Mathematics, Optimization, Statistics
Applications: Management Science, Operations Research

Ananda Sen

Professor,

Biostatistics, School of Public Health
Family Medicine, Michigan Medicine


Methodologies: Bayesian Methods, Statistics
Applications: Clinical Research

Srijan Sen

Research Professor,

Depression and Neurosciences, Michigan Medicine
Psychiatry
Molecular and Behavioral Neuroscience Institute


Core Faculty

Applications: Clinical Research, Genetics, Genomics, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Mental Health, Mobile Devices, Sensors and Sensor Networks

Yulia Sevryugina

Senior Associate Librarian,

University of Michigan Library


Methodologies: Data Mining, Data Visualization, Information Theory
Applications: Biological Sciences, Chemistry and Chemical Engineering

Prasad R. Shankar

Clinical Assistant Professor,

Radiology


Methodologies: Machine Learning, Statistics, Survey Methodology
Applications: Healthcare Management and Outcomes, Medical Imaging, Operations Research

Matthew Shapiro

Professor,

Economics, LSA
Survey Research Center, Institute for Social Research


Applications: Economics, Survey Research

Taysseer Sharaf

Assistant Professor,

Statistics, LSA


Methodologies: Artificial Intelligence, Bayesian Methods, Data Visualization, Deep Learning, Machine Learning, Network Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis

Kerby Shedden

Professor,

Statistics, LSA
Biostatistics, School of Public Health
Director of Consulting for Statistics, Computing, and Analytics Research (CSCAR)


Education and Training Sub-Committee, Management Committee

Methodologies: Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Bioinformatics, Biological Sciences, Clinical Research, Electronic Medical Record Data, Epidemiology, Genetics, Genomics, Healthcare Management and Outcomes, Human Development, Human Subjects Trials and Intervention Studies, Medical Informatics, Population Sciences, Precision Health, Sensors and Sensor Networks, Transportation Research

Siqian Shen

Associate Professor,

Industrial and Operations Engineering, College of Engineering


Methodologies: Algorithms, Decision Science, Dynamical Models, Graph Theory and Graph-based Methods, Mathematics, Optimization, Spatio-Temporal Data Analysis
Applications: Energy Research, Healthcare Management and Outcomes, Management Science, Networks, Operations Research, Transportation Research

Jie Shen

Professor,

Computer and Information Science


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Human-Computer Interaction, Machine Learning, Missing Data and Imputation, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Time Series Analysis
Applications: Computer Science, Computer Vision, Materials Science, Sensors and Sensor Networks, Transportation Research

Shu-Fang Shih

Research Assistant Professor,

Department of Health Management and Policy
School of Public Health


Methodologies: Causal Inference, Data Collection Design, Econometrics, Longitudinal Data Analysis, Pattern Analysis and Classification, Psychometrics, Statistical Inference, Statistical Modeling
Applications: Behavioral Science, Children and Adolescents, Education, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Learning Health Systems, Mobile Devices, Policy Research, Population Sciences, Public Health, Social Sciences, Survey Research

Yuki Shiraito

Assistant Professor,

Political Science, LSA


Methodologies: Bayesian Methods, Causal Inference
Applications: Political Science, Social Sciences

Ginger Shultz

Assistant Professor,

Chemistry, LSA


Methodologies: Natural Language Processing, Psychometrics, Statistical Modeling, Statistics, Survey Methodology
Applications: Chemistry and Chemical Engineering, Education

Yajuan Si

Research Assistant Professor,

Survey Research Center, Institute for Social Research


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Mining, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology
Applications: Healthcare Management and Outcomes, Population Sciences, Social Sciences

Kathleen Sienko

Professor,

Mechanical Engineering


Methodologies: Human-Computer Interaction, Machine Learning, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Time Series Analysis
Applications: Clinical Research, Global Development, Human Subjects Trials and Intervention Studies, Precision Health

John Silberholz

Assistant Professor,

Technology and Operations


Methodologies: Data Mining, Machine Learning, Optimization, Predictive Modeling
Applications: Business Analytics, Healthcare Management and Outcomes, Management Science, Operations Research

Mehrdad Simkani

Professor,

Mathematics, LSA


Methodologies: Mathematics

Karandeep Singh

Assistant Professor,

Learning Health Sciences


Methodologies: Machine Learning, Predictive Modeling
Applications: Learning Health Systems, Medical Informatics

Stephen Smith

Assistant Professor,

Ecology and Evolutionary Biology, LSA
The Center of Computational Medicine and Bioinformatics


Methodologies: Algorithms, Data Mining, Statistical Inference
Applications: Bioinformatics, Biological Sciences, Genetics

Peter X. K. Song

Professor,

Biostatistics, School of Public Health


Methodologies: Algorithms, Data Management, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Tensor Analysis, Time Series Analysis
Applications: Behavioral Science, Business Analytics, Children and Adolescents, Clinical Research, Environmental Sciences, Epidemiology, Finance Research, Human Development, Human Subjects Trials and Intervention Studies, Precision Health

Reza Soroushmehr

Research Investigator,

Department of Computational Medicine and Bioinformatics


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Mining, Decision Science, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, Real-time Data Processing
Applications: Computer Science

S. Sriram

Professor,

Marketing, Ross School of Business


Methodologies: Causal Inference, Dynamical Models, Econometrics, Machine Learning, Predictive Modeling, Statistical Modeling
Applications: Business Analytics, Economics, Education, Healthcare Management and Outcomes, Management Science, Marketing and Consumer Behavior Research, Social Sciences

Anna G. Stefanopoulou

Professor,

Mechanical Engineering


Methodologies: Dynamical Models, Optimization, Predictive Modeling
Applications: Civic Infrastructure, Climate Research, Complex Systems, Electrical Engineering, Energy Research

Joshua Stein

Associate Professor,

Ophthalmology / Visual Sciences (School of Medicine)


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Deep Learning, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing
Applications: Bioinformatics, Clinical Research, Electronic Medical Record Data, Healthcare Management and Outcomes

Stilian A. Stoev

Associate Professor,

Statistics, LSA


Methodologies: Data Visualization, Statistical Inference, Statistics
Applications: Climate Research, Computer Science, Environmental Sciences, Finance Research, Networks

Quentin Stout

Professor,

Computer Science and Engineering, College of Engineering
Climate and Space Science, Climate and Space Science


Methodologies: Algorithms, Classification
Applications: Computer Science

Martin J. Strauss

Professor,

EECS, College of Engineering
Mathematics, LSA


Methodologies: Algorithms, Data Security and Privacy, High-Dimensional Data Analysis, Machine Learning, Mathematics, Sparse Data Analysis
Applications: Computer Science, Education, Energy Research

Wencong Su

Assistant Professor,

EECS, College of Engineering


Methodologies: Data Mining, Optimization
Applications: Energy Research, Transportation Research

Vijay Subramanian

Associate Professor,

EECS, College of Engineering


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Decision Science, Dynamical Models, High-Dimensional Data Analysis, Information Theory, Mathematics, Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics
Applications: Complex Systems, Computer Science, Economics, Electrical Engineering, Networks, Operations Research

Yuekai Sun

Assistant Professor,

Statistics, LSA


Methodologies: High-Dimensional Data Analysis, Machine Learning, Statistical Inference
Applications: Biological Sciences

Wenhao Sun

Assistant Professor,

Materials Science and Engineering


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, High-Dimensional Data Analysis, Machine Learning, Natural Language Processing, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling
Applications: Chemistry and Chemical Engineering, Materials Science

Jing Sun

Professor,

Naval Architecture and Marine Engineering Department


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Data Security and Privacy, Decision Science, Deep Learning, Dynamical Models, Machine Learning, Mathematics, Optimization, Predictive Modeling, Real-time Data Processing
Applications: Electrical Engineering, Energy Research, Robotics, Sensors and Sensor Networks, Transportation Research

Veera Sundararaghavan

Professor,

Aerospace Engineering


Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Graph Theory and Graph-based Methods, Machine Learning
Applications: Aerospace Engineering, Materials Science

Z. Tuba Suzer-Gurtekin

Assistant Research Scientist,

Assistant Research Scientist, ISR-SRC


Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Decision Science, Econometrics, Human-Computer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Psychometrics, Statistical Inference, Statistics, Survey Methodology, Time Series Analysis
Applications: Economics, Marketing and Consumer Behavior Research, Public Health, Survey Research

Rie Suzuki

Associate Professor,

Public Health and Health Sciences


Methodologies: Data Management, Data Mining, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling
Applications: Behavioral Science, Education, Healthcare Management and Outcomes, Population Sciences, Social Sciences, Survey Research

Kean Ming Tan

Assistant Professor,

Department of Statistics


Methodologies: High-Dimensional Data Analysis, Machine Learning, Pattern Analysis and Classification, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Learning Health Systems, Medical Imaging, Medical Informatics, Mental Health

Jeremy M G Taylor

Professor,

Biostatistics, School of Public Health
Computational Medicine and Bioinformatics, Michigan Medicine
Radiation Oncology, Michigan Medicine


Management Committee

Methodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Climate Research, Epidemiology, Genetics, Genomics, Human Subjects Trials and Intervention Studies, Population Sciences, Precision Health

Stephanie Teasley

Research Professor,

School of Information
Director, Learning, Education & Design Lab


Core Faculty, Management Committee

Applications: Behavioral Science, Education, Learning Analytics, Social Sciences

Misha Teplitskiy

Assistant Professor,

School of Information


Methodologies: Decision Science, Econometrics, Predictive Modeling
Applications: Behavioral Science, Economics, Management Science, Policy Research, Political Science, Social Sciences

Jonathan Terhorst

Assistant Professor,

Statistics


Methodologies: Algorithms, Bayesian Methods, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Biological Sciences, Genetics, Genomics, Precision Health

Ambuj Tewari

Assistant Professor,

Statistics, LSA
EECS, College of Engineering


Methodologies: Algorithms, Artificial Intelligence, Classification, Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Applications: Behavioral Science, Computer Science, Human Subjects Trials and Intervention Studies, Mental Health, Mobile Devices, Networks, Precision Health

Andrea Thomer

Assistant Professor,

School of Information


Methodologies: Classification, Data Collection Design, Data Management, Data Munging, Database Systems and Infrastructure, Digital Data Curation, Heterogeneous Data Integration, Human-Computer Interaction, Ontology
Applications: Climate Research, Earth Science, Ecological Research, Environmental Sciences

Kentaro Toyama

W. K. Kellogg Professor of Community Information,

School of Information


Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Dynamical Models, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling
Applications: Complex Systems, Computer Vision, Global Development, Human Development, Information Systems

Michael Traugott

Research Professor,

Center for Political Studies
Political Science, LSA
Communication Studies, LSA
Institute for Social Research


Applications: Political Science, Social Sciences, Survey Research

Suleyman Uludag

Associate Professor,

Computer Science, UM-Flint


Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Security and Privacy, Graph Theory and Graph-based Methods, Optimization
Applications: Computer Science, Cyber Security, Education, Energy Research, Networks, Sensors and Sensor Networks

Thomas Valley

Assistance Professor of Internal Medicine,

Medical School - Internal Medicine


Methodologies: Causal Inference, Decision Science, Econometrics
Applications: Healthcare Management and Outcomes

Mark P Van Oyen

Professor,

Industrial and Operations Engineering


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Decision Science, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling, Statistical Inference
Applications: Business Analytics, Industrial Engineering, Management Science, Networks, Operations Research, Policy Research, Public Health

Anthony Vanky

Assistant Professor of Urban and Regional Planning,

Methodologies: Data Collection Design, Data Visualization, Geographic Information Systems, Human-Computer Interaction, Machine Learning, Spatio-Temporal Data Analysis
Applications: Civic Infrastructure, Policy Research, Population Sciences, Sensors and Sensor Networks, Social Sciences, Transportation Research, Urban Planning

Shravan Veerapaneni

Associate Professor,

Mathematics, LSA


Methodologies: Algorithms, Data Visualization, Machine Learning, Mathematics, Tensor Analysis

V. G. Vinod Vydiswaran

Assistant Professor,

Learning Health Sciences, Michigan Medicine
School of Information


Methodologies: Data Mining, Heterogeneous Data Integration, Machine Learning, Natural Language Processing
Applications: Computational Linguistics, Electronic Medical Record Data, Medical Informatics

Akbar Waljee

Associate Professor,

Internal Medicine


Methodologies: Algorithms, Artificial Intelligence, Causal Inference, Deep Learning, High-Dimensional Data Analysis, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Time Series Analysis
Applications: Bioinformatics, Clinical Research, Epidemiology, Healthcare Management and Outcomes, Learning Analytics, Learning Health Systems, Medical Imaging, Medical Informatics, Mobile Devices, Precision Health

Nils G. Walter

Francis S. Collins Collegiate Professor,

Chemistry, LSA


Methodologies: Bayesian Methods, Data Management, Data Visualization, Network Analysis, Pattern Analysis and Classification, Time Series Analysis
Applications: Biological Sciences, Chemistry and Chemical Engineering, Materials Science, Nanotechnology

Naisyin Wang

Professor,

Statistics, LSA


Methodologies: Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Statistics
Applications: Biological Sciences, Public Health

Kevin Ward

Professor,

Emergency Medicine, Michigan Medicine


Management Committee

Methodologies: Real-time Data Processing, Signal Processing
Applications: Clinical Research, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Mobile Devices, Sensors and Sensor Networks

Lu Wei

Assistant Professor,

Electrical and Computer Engineering, College of Engineering and Computer Science


Methodologies: Information Theory, Mathematics
Applications: Complex Systems, Electrical Engineering

Brady West

Associate Professor,

Institute for Social Research


Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology
Applications: Survey Research

Jenna Wiens

Associate Professor,

Computer Science and Engineering, College of Engineering


Methodologies: Artificial Intelligence, Computational Tools for Data Science, Data Mining, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis
Applications: Healthcare Management and Outcomes, Medical Informatics

Terrence Wong

Assistant Professor,

Department of Internal Medicine; Division of Hematology and Oncology


Methodologies: Longitudinal Data Analysis, Statistics
Applications: Bioinformatics, Biological Sciences, Genetics, Genomics

Zhenke Wu

Assistant Professor,

Biostatistics, School of Public Health


Core Faculty

Methodologies: Bayesian Methods, Computational Tools for Data Science, Heterogeneous Data Integration, Statistical Inference, Statistical Modeling
Applications: Electronic Medical Record Data, Healthcare Management and Outcomes, Medical Informatics, Precision Health

Xiaoling Xiang

Assistant Professor,

School of Social Work


Methodologies: Statistics, Survey Methodology
Applications: Mental Health

Gongjun Xu

Assistant Professor,

Statistics


Methodologies: Psychometrics, Statistical Inference, Statistical Modeling, Statistics
Applications: Education, Psychology

Hongwei Xu

Research Assistant Professor,

Survey Research Center, Institute for Social Research


Methodologies: Bayesian Methods, Causal Inference, Data Collection Design, Geographic Information Systems, Longitudinal Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics
Applications: Behavioral Science, Children and Adolescents, Epidemiology, Mental Health, Population Sciences, Social Sciences, Survey Research

Ming Xu

Professor,

School for Environment and Sustainability
Civil and Environmental Engineering, College of Engineering


Methodologies: Data Mining, Data Visualization, Graph Theory and Graph-based Methods, Missing Data and Imputation, Network Analysis, Optimization
Applications: Civic Infrastructure, Complex Systems, Energy Research, Environmental Sciences, Networks, Transportation Research

Jieping Ye

Associate Professor,

Computational Medicine and Bioinformatics, Michigan Medicine
Electrical and Computer Engineering, College of Engineering


Methodologies: Artificial Intelligence, Data Mining, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Tensor Analysis, Time Series Analysis
Applications: Bioinformatics, Medical Informatics, Operations Research, Transportation Research

Lei Ying

Professor,

Methodologies: Data Collection Design, Data Mining, Decision Science, Graph Theory and Graph-based Methods, Machine Learning, Missing Data and Imputation, Number Theory, Optimization, Time Series Analysis
Applications: Computer Science, Electrical Engineering

Amy M. Yorke

Assistant Professor,

Physical Therapy


Methodologies: Survey Methodology
Applications: Education, Healthcare Management and Outcomes

Jon Zelner

Assistant Professor,

Epidemiology, School of Public Health
Center for Social Epidemiology and Population Health


Methodologies: Data Visualization, Dynamical Models, Network Analysis
Applications: Epidemiology, Mental Health, Networks, Public Health

Dominika Zgid

Associate Professor,

Chemistry Department


Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Mining, Machine Learning, Mathematics, Predictive Modeling, Tensor Analysis
Applications: Chemistry and Chemical Engineering, Materials Science, Physics

Xingyu Zhang

Research Assistant Professor,

School of Nursing


Methodologies: Data Mining, Decision Science, Machine Learning, Pattern Analysis and Classification, Statistical Modeling, Time Series Analysis
Applications: Epidemiology, Healthcare Management and Outcomes, Public Health

Jun Zhang

Professor,

Mathematics, Statistics, and Psychology, LSA


Core Faculty

Methodologies: Machine Learning, Mathematics
Applications: Psychology, Social Sciences

Lili Zhao

Research Associate professor,

Biostatistics Department


Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Data Mining, Deep Learning, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Ontology, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics
Applications: Bioinformatics, Epidemiology, Public Health

Xiang Zhou

John G Searle Assistant Professor,

Biostatistics, School of Public Health


Methodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Data Quality, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling
Applications: Bioinformatics, Biological Sciences, Epidemiology, Genetics, Genomics, Precision Health

Feng Zhou

Assistant Professor,

Industrial and Manufacturing Systems Engineering, CECS


Methodologies: Human-Computer Interaction, Machine Learning, Natural Language Processing
Applications: Behavioral Science, Marketing and Consumer Behavior Research, Transportation Research

Ji Zhu

Professor,

Statistics, LSA
EECS, College of Engineering


Methodologies: Algorithms, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Optimization, Statistical Modeling
Applications: Medical Informatics, Networks, Precision Health

Qiang Zhu

Professor,

Computer and Information Science


Methodologies: Data Management, Data Mining, Data Security and Privacy, Heterogeneous Data Integration, Optimization, Spatio-Temporal Data Analysis
Applications: Bioinformatics, Genomics, Transportation Research

Yuri Zhukov

Associate Professor,

Political Science


Methodologies: Causal Inference, Data Collection Design, Data Management, Data Visualization, Geographic Information Systems, Natural Language Processing, Network Analysis, Spatio-Temporal Data Analysis
Applications: Political Science, Social Sciences

Robert Ziff

Professor,

Chemical Engineering


Methodologies: Algorithms, Graph Theory and Graph-based Methods, Mathematics, Number Theory, Statistical Modeling
Applications: Chemistry and Chemical Engineering, Physics, Public Health

Paul Zimmerman

Assistant Professor,

Chemistry, LSA


Methodologies: Machine Learning
Applications: Chemistry and Chemical Engineering, Materials Science

Sebastian Zoellner

Associate Professor,

Biostatistics, School of Public Health
Psychiatry, Michigan Medicine


Methodologies: Statistics
Applications: Genetics, Genomics, Mental Health, Political Science