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Steven Abney

Associate Professor, Linguistics, College of Literature, Science, and the Arts

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

Eytan Adar

Associate Professor, School of Information

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

Peter Adriaens

Professor, Civil and Environmental Engineering, College of Engineering

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

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

Amal Alhosban

Assistant Professor, Computer Science, College of Arts and Sciences

Methodologies: Data Mining
Applications: Computer Science

Mark Allison

Assistant Professor, Computer Science

Applications: Computer Science, Energy Research, Transportation Research

Daniel Almirall

Associate Professor, Survey Research Center

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

George Alter

Research Professor, Institute for Social Research
Challenge Sub-Committee

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

Yves Atchade

Associate Professor, Statistics, College of Literature, Science, and the Arts

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
Co-Directors, Management Committee

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

Laura Balzano

Assistant Professor, Electrical Engineering and Computer Science, College of Engineering
Education and Training Sub-Committee

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, College of Literature, Science, and the Arts

Methodologies: Statistical Inference, Statistical Modeling, Statistics

Mousumi Banerjee

Anant M. Kshirsagar Collegiate Research Professor, Biostatistics, School of Public Health

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

Associate Professor, Mobile and Interactive Marketing

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

Satinder Singh Baveja

Professor, Electrical Engineering and Computer Science, 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, College of Literature, Science, and the Arts

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

Lydia Beaudrot

Assistant Professor, Ecology and Evolutionary Biology, College of Literature, Science, and the Arts

Methodologies: Statistics
Applications: Biological Sciences, Ecological Research

Adriene Beltz

Assistant Professor, Psychology, College of Literature, Science, and the Arts
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

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

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

Christopher Brooks

Research Assistant Professor, School of Information

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, College of Literature, Science, and the Arts

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

Eunshin Byon

Associate Professor, Industrial and Operations 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, Electrical Engineering and Computer Science, College of Engineering

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

Matias D. Cattaneo

Professor, Economics, College of Literature, Science, and the Arts
Faculty Recruitment and Engagement Sub-Committee

Methodologies: Decision Science, Econometrics, High-Dimensional Data Analysis, Statistical Inference
Applications: Finance Research, Healthcare Management and Outcomes, Social Sciences

Tim Cernak

Assistant Professor, Medicinal Chemistry, College of Pharmacy

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

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

Jowei Chen

Associate Professor, Political Science, College of Literature, Science, and the Arts

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

Yang Chen

Assistant Professor, Statistics, College of Literature, Science, and the Arts
Core Faculty

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

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

Vu-Minh Chieu

Assistant Research Scientist, Education, School of Education

Amy Cohn

Professor, Industrial and Operations Engineering, College of Engineering

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

Kevyn Collins-Thompson

Associate Professor, School of Information

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

Jason Corso

Associate Professor, Electrical Engineering and Computer Science, College of Engineering

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

Kai S. Cortina

Professor, Psychology, College of Literature, Science, and the Arts

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

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, College of Literature, Science, and the Arts

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

Omid Dehzangi

Assistant Professor, Computer and Information Science

Methodologies: Algorithms, Classification, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing
Applications: Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Medical Informatics, Mobile Devices, Precision Health, Sensors and Sensor Networks

Brian Denton

Associate Professor, Industrial and Operations Engineering, College of Engineering

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

Ivo D. Dinov

Professor, Computational Medicine and Bioinformatics, Human Behavior and Biological Sciences
Associate Director, Education and Training Sub-Committee, Management 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

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

Marisa Eisenberg

Assistant Professor, School of Public Health

Issam El Naqa

Associate Professor, Radiation Oncology, Michigan Medicine

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

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

August (Gus) Evrard

Professor, Physics and Astronomy, College of Literature, Science, and the Arts

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

Fred Feinberg

Professor, Marketing, Ross School of Business

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

Jeff Fessler

Professor, Electrical Engineering and Computer Science, College of Engineering

Thomas Finholt

Dean and Professor, School of Information

Applications: Social Sciences

Carol Flannagan

Carol Flannagan

Research Associate 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

Danny Forger

Professor, Mathematics, College of Literature, Science, and the Arts

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

Robert J. Franzese Jr.

Professor and Associate Chair, Political Science, College of Literature, Science, and the Arts

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

Johann Gagnon-Bartsch

Assistant Professor, Statistics, College of Literature, Science, and the Arts

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

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

Anna Gilbert

Professor, Mathematics, College of Literature, Science, and the Arts
Core Faculty, Management Committee

Methodologies: Algorithms, Image Data Processing and Analysis, Signal Processing

Brenda Gillespie

Associate Director, CSCAR

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

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

Bryan R. Goldsmith

Assistant Professor, Chemical Engineering, College of Engineering

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

Rich Gonzalez

Professor, Psychology, College of Literature, Science, and the Arts
Education and Training Sub-Committee

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

Andrew Grogan-Kaylor

Associate Professor, School of Social Work

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

Methodologies: Machine Learning, Network Analysis
Applications: Bioinformatics

Emanuel Gull

Assistant Professor, Physics, College of Literature, Science, and the Arts

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

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, College of Literature, Science, and the Arts

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
Challenge Sub-Committee

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

√Āine Heneghan

Assistant Professor, Music Theory, School of Music, Theatre & Dance

Methodologies: Computational Tools for Data Science
Applications: Music

Alfred Hero

Professor, Electrical Engineering and Computer Science, College of Engineering
Co-Directors, 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

Joseph Himle

Professor, School of Social Work

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

Jingwen Hu

Associate Research Scientist, Transportation Research Institute

Methodologies: Computational Tools for Data Science
Applications: Transportation Research

Muzammil M. Hussain

Assistant Professor, Communication Studies, College of Literature, Science, and the Arts

Methodologies: Algorithms, Causal Inference, Data Collection Design, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Human-Computer Interaction, Network Analysis
Applications: Behavioral Science, Business Analytics, Civic Infrastructure, Complex Systems, Cyber Security, Global Development, Management Science, Marketing and Consumer Behavior Research, Mobile Devices, Operations Research, Organizational Research, Policy Research, Political Science, Social Sciences

Edward Ionides

Professor, Statistics, College of Literature, Science, and the Arts

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

H. V. Jagadish

Professor, Electrical Engineering and Computer Science, College of Engineering
Core Faculty, Distinguished Scientist, Management Committee

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

Judy Jin

Professor, Industrial and Operations Engineering, 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, Electrical Engineering and Computer Science, Naval Architecture and Marine Engineering, College of Engineering

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

Jack D. Kalbfleisch

Professor Emeritus, Biostatistics, School of Public Health

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

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

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

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

Anna Kratz

Assistant Professor, Physical Medicine and Rehabilitation, Michigan Medicine

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

Jeffrey C. Lagarias

Professor, Mathematics, College of Literature, Science, and the Arts

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

Carl Lagoze

Associate Professor, School of Information

Walter S. Lasecki

Assistant Professor, Computer Science and Engineering, College of Engineering

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

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
Management Committee

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

Elizaveta Levina

Vijay Nair Collegiate Professor, Statistics, College of Literature, Science, and the Arts

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
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

Methodologies: High-Dimensional Data Analysis

Roderick Little

Professor, Biostatistics, School of Public Health

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, Electrical Engineering and Computer Science, College of Engineering

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

Xuefeng (Chris) Liu

Associate Professor, Nursing, School of Nursing

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

Henry Liu

Professor, Civil and Environmental Engineering, College of Engineering

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

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

Jerome P. Lynch

Professor, Donald Malloure Department Chair, Civil and Environmental Engineering, 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

Murali Mani

Associate 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

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

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

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, College of Literature, Science, and the Arts
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, College of Literature, Science, and the Arts

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

Qiaozhu Mei

Associate Professor, School of Information

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

George Michailidis

Associate Professor, Statistics, College of Literature, Science, and the Arts

Methodologies: Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Optimization, Spatio-Temporal Data Analysis

Eric Michielssen

Professor, Electrical Engineering and Computer Science, College of Engineering & Associate Vice President, Advanced Research Computing
Management Committee

Methodologies: Algorithms, Mathematics
Applications: Physics

Rada Mihalcea

Professor, Electrical Engineering and Computer Science, 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, College of Literature, Science, and the Arts

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

Brian Min

Associate Professor, Political Science, College of Literature, Science, and the Arts

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

Colter Mitchell

Faculty Associate, Population Studies Center

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

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, Electrical Engineering and Computer Science, 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, Electrical Engineering and Computer Science, College of Engineering
Core Faculty

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

Viswanath Nagarajan

Assistant Professor, Industrial and Operations Engineering, College of Engineering

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

Brahmajee Nallamothu

Professor, Internal Medicine, Michigan Medicine
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

Bin Nan

Professor, Biostatistics, School of Public Health

Methodologies: Longitudinal Data Analysis, Missing Data and Imputation, Statistics
Applications: Healthcare Management and Outcomes, Medical Imaging, Medical Informatics

Satish Narayanasamy

Associate Professor, Electrical Engineering and Computer Science, College of Engineering
Faculty Recruitment and Engagement Sub-Committee

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

Long Nguyen

Associate Professor, Statistics, College of Literature, Science, and the Arts
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

Michael O’Donnell

Clinical Professor, Health Management Research Center

Gilbert S. Omenn

Professor, Computational Medicine and Bioinformatics, Human Genetics, Molecular Medicine & Genetics, Public Health

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

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)

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, Electrical Engineering and Computer Science, 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

Josh Pasek

Assistant Professor, Communication Studies, College of Literature, Science, and the Arts
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

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

Mert Pilanci

Assistant Professor, Electrical Engineering and Computer Science, College of Engineering
Core Faculty

Timothy Pletcher

Executive Director, Michigan Health Information Network

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

Keshav Pokhrel

Assistant Professor, Statistics, College of Literature, Science, and the Arts

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

Anuj K. Pradhan

Assistant Research Scientist, Transportation Research Institute

Methodologies: Human-Computer Interaction
Applications: Children and Adolescents, Transportation Research

Atul Prakash

Professor, Electrical Engineering and Computer Science, College of Engineering

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

Kevin Quinn

Professor, Political Science, College of Literature, Science, and the Arts
Faculty Recruitment and Engagement Sub-Committee

Methodologies: Statistics
Applications: Law, Political Science

Dragomir R. Radev

Professor, Electrical Engineering and Computer Science, College of Engineering

Methodologies: Graph Theory and Graph-based Methods, Machine Learning, Network Analysis

Trivellore E. Raghunathan

Director and Research Professor, Survey Research Center

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, UM Medical School

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
Core Faculty

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

Daniel Romero

Assistant Professor, School of Information

Methodologies: Data Mining, Machine Learning

Joseph Ryan

Associate Professor, School of Social Work

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, Network Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical 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

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

Ramon Satyendra

Associate Professor, Music Theory, School of Music, Theatre & Dance

Methodologies: Mathematics
Applications: Music

Matthew Schipper

Associate Professor, Radiation Oncology, Michigan Medicine

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

Santiago Schnell

Professor, Molecular and Integrative Physiology, Michigan Medicine

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

Eric Schwartz

Assistant Professor, Marketing, Ross School of Business

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

Clayton Scott

Associate Professor, Electrical Engineering and Computer Science, College of Engineering

Methodologies: Algorithms, Machine Learning

Lawrence Seiford

Professor, Industrial and Operations Engineering, College of Engineering

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

Ananda Sen

Professor, Biostatistics, School of Public Health

Methodologies: Bayesian Methods, Statistics
Applications: Clinical Research

Srijan Sen

Professor, Depression and Neurosciences, Michigan Medicine
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

Matthew Shapiro

Professor, Economics, College of Literature, Science, and the Arts

Applications: Economics, Survey Research

Taysseer Sharaf

Assistant Professor, Statistics, College of Literature, Science, and the Arts

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

Kerby Shedden

Professor, Statistics, College of Literature, Science, and the Arts
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

Yuki Shiraito

Assistant Professor, Political Science, College of Literature, Science, and the Arts

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

Mehrdad Simkani

Professor, Mathematics, College of Literature, Science, and the Arts

Methodologies: Mathematics

Stephen Smith

Assistant Professor, Ecology and Evolutionary Biology, College of Literature, Science, and the Arts

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

S. Sriram

Associate 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

Stilian A. Stoev

Associate Professor, Statistics, College of Literature, Science, and the Arts

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

Methodologies: Algorithms, Classification
Applications: Computer Science

Martin J. Strauss

Professor, Electrical Engineering and Computer Science, College of Engineering & Mathematics, College of Literature, Science, and the Arts

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, Electrical Engineering and Computer Science, College of Engineering

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

Vijay Subramanian

Associate Professor, Electrical Engineering and Computer Science, 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, College of Literature, Science, and the Arts

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

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

Jeremy M G Taylor

Professor, Biostatistics, School of Public Health
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
Core Faculty, Management Committee

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

Ambuj Tewari

Assistant Professor, Statistics, College of Literature, Science, and the Arts

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

Rocio Titiunik

James Orin Murfin Professor, Political Science, College of Literature, Science, and the Arts
Faculty Recruitment and Engagement Sub-Committee

Methodologies: Econometrics, Natural Language Processing, Statistical Inference, Statistics
Applications: Behavioral Science, Political Science, Social Sciences

Michael Traugott

Research Professor, Center for Political Studies

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

Shravan Veerapaneni

Associate Professor, Mathematics, College of Literature, Science, and the Arts

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

V. G. Vinod Vydiswaran

Assistant Professor, Learning Health Sciences, Michigan Medicine

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

Nils G. Walter

Francis S. Collins Collegiate Professor, Chemistry, College of Literature, Science, and the Arts

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, College of Literature, Science, and the Arts

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

Assistant 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

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

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

Associate Professor, School for Environment and Sustainability

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
Management Committee

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

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

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

Jun Zhang

Professor, Mathematics and Psychology, College of Literature, Science, and the Arts
Core Faculty

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

Ding Zhao

Assistant Research Scientist, Mechanical Engineering, College of Engineering

Methodologies: Algorithms, Bayesian Methods, Data Security and Privacy, Data Visualization, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Signal Processing
Applications: Transportation Research

Shuheng Zhou

Assistant Professor, Statistics, College of Literature, Science, and the Arts

Methodologies: Algorithms, Decision Science, Missing Data and Imputation, Network Analysis, Optimization, Spatio-Temporal Data Analysis
Applications: Biological Sciences, Networks

Ji Zhu

Professor, Statistics, College of Literature, Science, and the Arts

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

Paul Zimmerman

Assistant Professor, Chemistry, College of Literature, Science, and the Arts

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

Sebastian Zoellner

Associate Professor, Biostatistics, School of Public Health

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