Keith Aaronson, MDMD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine,Michigan Medicine Cardiology Clinic  Cardiovascular Center Methodologies: Machine Learning, Mathematical and statistical modeling 
Steven AbneyAssociate Professor,Linguistics, LSA Methodologies: Artificial Intelligence, Machine Learning, Natural Language Processing 
Yasser AboelkassemAssistant Professor,College of Innovation and Technology Methodologies: Artificial Intelligence, Computational Tools for Data Science, Dynamical Models, Machine Learning, Mathematics 
Eytan AdarAssociate Professor,School of Information Methodologies: Data Mining, Data Visualization, Image Data Processing and Analysis, Time Series Analysis 
Achyuta AdhvaryuAssociate Professor,Ross School of Business Methodologies: Longitudinal Data Analysis, Machine Learning, Predictive Modeling 
Andrew J. Admon, MD, MPH, MScClinical Lecturer,Department of Internal Medicine Methodologies: Causal Inference, Econometrics, Predictive Modeling, Statistical Inference 
Peter AdriaensProfessor,Civil and Environmental Engineering, College of Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Econometrics, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing, Network Analysis, Optimization, Predictive Modeling, Signal Processing, Statistics, Time Series Analysis 
Michelle AebersoldClinical Associate Professor,School of Nursing Core Faculty Applications: Education, Healthcare Management and Outcomes, Learning Analytics 
Mahesh AgarwalAssociate 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 
Arun AgrawalProfessor,School for Environment and Sustainability Applications: Environmental Sciences, Global Development, Political Science, Social Sciences 
Carlos AguilarAssistant Professor,Biomedical Engineering Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, HighDimensional Data Analysis, Statistics, Time Series Analysis 
Omar Jamil AhmedAssistant Professor,Psychology Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Visualization, Information Theory, Mathematics, Realtime Data Processing, Signal Processing, Time Series Analysis 
Hyunsoo AhnProfessor,Technology and Operations, Ross School of Business Methodologies: Dynamical Models, Optimization 
Raed Al KontarAssistant Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Bayesian Methods, Data Mining, Heterogeneous Data Integration, HighDimensional Data Analysis, Predictive Modeling, Sparse Data Analysis, SpatioTemporal Data Analysis, Statistical Modeling, Statistics, Time Series Analysis 
Fadhl AlakwaaResearch Investigator,Neurology Methodologies: Classification, Data Visualization, Deep Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Statistical Modeling 
J. Trent AlexanderResearch Professor,ICPSR, ISR Methodologies: Data Quality, Digital Data Curation, Heterogeneous Data Integration, Image Data Processing and Analysis, Longitudinal Data Analysis 
Amal AlhosbanAssociate Professor,Computer Science, College of Arts and Sciences Methodologies: Data Mining 
Mark AllisonAssociate Professor,Computer Science, Engineering and Physics Applications: Computer Science, Energy Research, Transportation Research 
Daniel AlmirallAssociate Professor,Survey Research Center Methodologies: Causal Inference, Data Collection Design, Longitudinal Data Analysis 
Karen AlofsAssistant Professor,School for Environment and Sustainability Methodologies: Data Collection Design, Data Management, Heterogeneous Data Integration, Longitudinal Data Analysis, SpatioTemporal Data Analysis, Time Series Analysis 
George AlterResearch Professor,Institute for Social Research Challenge SubCommittee Methodologies: Data Management, Data Security and Privacy, Digital Data Curation, Longitudinal Data Analysis, Statistical Inference 
M. Reza AminiAssistant Research Scientist,Naval Architecture and Marine Engineering Methodologies: Artificial Intelligence, Data Mining, Machine Learning, Optimization, Predictive Modeling 
Nazanin AndalibiAssistant Professor,School of information Methodologies: HumanComputer Interaction, Psychometrics 
Sardar AnsariResearch Assistant Professor,Emergency Medicine Methodologies: Artificial Intelligence, Classification, Data Mining, Deep Learning, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Signal Processing, Statistical Modeling, Statistics, Time Series Analysis 
Brian D. AtheyProfessor,Computational Medicine and Bioinformatics, Michigan Medicine Management Committee Methodologies: Machine Learning 
Camille AvestruzAssistant Professor,Physics Methodologies: Computational Tools for Data Science, Machine Learning 
Yuehao BaiAssistant Professor,Economics Methodologies: Econometrics, Statistical Inference, Statistics 
Kevin BakkerAssistant Research Scientist,Epidemiology Methodologies: Data Visualization, Dynamical Models, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Time Series Analysis 
Veera BaladandayuthapaniProfessor,Biostatistics Methodologies: Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Data Visualization, Deep Learning, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Network Analysis, Predictive Modeling, Sparse Data Analysis, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics 
Laura BalzanoAssociate Professor,EECS, College of Engineering Methodologies: Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Realtime Data Processing, Signal Processing, Sparse Data Analysis, SpatioTemporal Data Analysis, Statistical Inference 
Moulinath BanerjeeProfessor,Biostatistics, Statistics, LSA Methodologies: Statistical Inference, Statistical Modeling, Statistics 
Mousumi BanerjeeAnant 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 
Syagnik BanerjeeProfessor,Mobile and Interactive Marketing Applications: Behavioral Science, Business Analytics, Marketing and Consumer Behavior Research, Policy Research, Social Sciences, Survey Research, Transportation Research 
Nikola BanovicAssistant Professor,Computer Science and Engineering Methodologies: Artificial Intelligence, HumanComputer Interaction 
Mihaela (Miki) BanuResearch Associate Professor,Mechanical Engineering Methodologies: Artificial Intelligence, Classification, Data Mining, Deep Learning, Geographic Information Systems, Machine Learning, Predictive Modeling, Statistical Modeling, Tensor Analysis 
Shan BaoAssociate Professor,University of MichiganDearborn Methodologies: Data Collection Design, Data Mining, Data Visualization, HumanComputer Interaction, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics 
Satinder Singh BavejaProfessor,EECS, College of Engineering Methodologies: Artificial Intelligence, Deep Learning, HumanComputer Interaction, Machine Learning 
Erhan BayraktarProfessor,Mathematics, LSA Methodologies: Bayesian Methods, Machine Learning, Mathematics 
Adriene BeltzAssistant Professor,Psychology, LSA Core Faculty Methodologies: Dynamical Models, Graph Theory and Graphbased Methods, Longitudinal Data Analysis, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Albert S. BerahasAssistant Professor,Industrial & Operations Engineering Methodologies: Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Machine Learning, Mathematics, Optimization, Statistics 
Kathleen M BergenAssociate Research Scientist,School for Environment and Sustainability Methodologies: Data Visualization, Image Data Processing and Analysis, SpatioTemporal Data Analysis 
Sol BermannChief 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 
Halil BisginAssistant 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 
Michael BoehnkeRichard G Cornell Distinguished University Professor,Biostatistics, School of Public Health Methodologies: Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics 
Andrei BoutylineAssistant Professor,Sociology Methodologies: Machine Learning, Natural Language Processing, Network Analysis, Statistics, Survey Methodology 
Christopher BrooksResearch Assistant Professor,School of Information Methodologies: Classification, Computational Tools for Data Science, Data Management, Data Mining, Database Systems and Infrastructure, HumanComputer Interaction, Machine Learning, Predictive Modeling 
Andrew BrouwerAssistant Research Scientist,Epidemiology Methodologies: Dynamical Models, Mathematics, Statistical Inference, Statistical Modeling, Statistics 
Elizabeth BruchAssociate Professor,Sociology, LSA Methodologies: Dynamical Models 
Sophia BruecknerAssistant Professor,Stamps School of Art & Design Methodologies: Artificial Intelligence, Data Visualization, Deep Learning, Machine Learning 
Ceren BudakAssistant Professor,School of Information Methodologies: Data Mining, Machine Learning, Network Analysis, Statistical Modeling 
Lorraine BuisAssociate Professor,Department of Family Medicine Methodologies: Classification, Data Mining, HumanComputer Interaction 
Bilal ButtAssociate Professor,School for Environment and Sustainability Methodologies: Classification, Data Security and Privacy, Data Visualization, Geographic Information Systems 
Eunshin ByonAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis 
J. Brian ByrdAssistant Professor,Internal Medicine Applications: Clinical Research, Precision Medicine, Public Health 
Jessica K. CampAssistant Professor,Health and Health Services Methodologies: Data Management, Data Mining, Econometrics, Statistical Inference, Statistics, Time Series Analysis 
Dallas CardAssistant Professor,School of Information Methodologies: Artificial Intelligence, Machine Learning, Natural Language Processing 
Neil CarterAssistant Professor,School for Environment and Sustainability Methodologies: Causal Inference, Dynamical Models, Geographic Information Systems, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling 
Tim CernakAssistant Professor,Medicinal Chemistry, College of Pharmacy Methodologies: Data Visualization, Optimization 
Lucia CevidanesThomas and Doris Graber Professor of Dentistry, Associate Professor,School of Dentistry Methodologies: Artificial Intelligence, Data Management, Data Mining, Data Security and Privacy, Data Visualization, Deep Learning, HighDimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Pattern Analysis and Classification, Predictive Modeling, Statistical Modeling 
Mithun ChakrabortyAssistant Research Scientist,Computer Science and Engineering, Electrical Engineering and Computer Science Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Econometrics, Machine Learning, Statistical Inference, Statistical Modeling, Statistics 
Charu ChandraProfessor,Decision Sciences and Supply Chain Management, College of Business Methodologies: Artificial Intelligence, Computational Tools for Data Science, Information Theory, Network Analysis 
Sriram ChandrasekaranAssistant Professor,Biomedical Engineering, College of Engineering Methodologies: Dynamical Models, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Optimization, Statistical Inference 
Xiuli ChaoProfessor,Industrial & Operations Engineering Methodologies: Datadriven Optimization, Game Theory, Machine Learning, Queuing Theory, Stochastic Optimal Control, Stochastic Processes 
Jowei ChenAssociate Professor,Political Science, LSA Methodologies: Geographic Information Systems 
Yang ChenAssistant Professor,Statistics, LSA Core Faculty Methodologies: Statistical Inference 
Lei ChenAssistant Professor,Department of Mechanical Engineering Methodologies: Bayesian Methods, Deep Learning, Machine Learning, Optimization 
YiSu ChenAssistant Professor,Operations Management, Ross School of Business Methodologies: Longitudinal Data Analysis, Network Analysis, Statistics 
Thomas L. ChenevertProfessor of Radiology,Michigan Medicine department of Radiology Methodologies: Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Pattern Analysis and Classification, SpatioTemporal Data Analysis 
Mark Steven CohenProfessor of Surgery, Pharmacology, and Biomedical Engineering, Director of the Center for Surgical Innovation,Surgery Methodologies: Artificial Intelligence, Deep Learning, HumanComputer Interaction, Machine Learning 
Amy CohnProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Optimization 
Kevyn CollinsThompsonAssociate Professor,School of Information Methodologies: Machine Learning, Natural Language Processing 
Frederick George ConradResearch Professor, Institute for Social Research; Professor, Psychology,Institute for Social Research; Survey Research Center Methodologies: Data Collection Design, Data Quality, HumanComputer Interaction, Natural Language Processing, Statistical Inference 
Lia CorralesAssistant Professor,Astronomy Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Visualization, HighDimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Statistical Inference, Statistics 
Kai S. CortinaProfessor,Psychology, LSA 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 
Deena CostaAssociate Professor,School of Nursing, Department of Systems, Populations and Leadership Methodologies: Data Collection Design, Data Mining, Data Visualization, Network Analysis 
Michael CraigAssistant Professor,School for Environment and Sustainability Methodologies: Computational Tools for Data Science, Machine Learning, Optimization, Statistical Modeling, Time Series Analysis 
William CurrieProfessor,School for Environment and Sustainability Methodologies: Causal Inference, Dynamical Models, Statistical Modeling 
Mark S. DaskinProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Network Analysis, Optimization 
Gerald DavisProfessor,Management, Ross School of Business Methodologies: Network Analysis 
Pamela DavisKeanProfessor,Psychology, LSA Associate Director Methodologies: Data Collection Design, Data Management, Longitudinal Data Analysis, Missing Data and Imputation, Psychometrics, Statistical Inference, Statistical Modeling 
Matias del CampoAssociate Professor,Taubman College of Architecture and Urban Planning Methodologies: Artificial Intelligence, Classification, Data Collection Design, Data Mining, Data Quality, Database Systems and Infrastructure, Deep Learning, Graph Theory and Graphbased Methods, Machine Learning, Ontology 
Matthew J DelanoAssistant Professor Surgery,Department of Surgery, Assistant Professor (Tenure Track) Applications: Biological Sciences, Genomics 
Walter DempseyAssistant Professor of Biostatistics, Assistant Research Professor at the Institute of Social Research,Department of Biostatistics Methodologies: Causal Inference, Network Analysis, Statistical Modeling 
Brian DentonStephen M. Pollock Collegiate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling 
Harm DerksenProfessor,Department of Mathematics Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Digital Data Curation, Graph Theory and Graphbased Methods, HighDimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Realtime Data Processing, Signal Processing, Sparse Data Analysis, SpatioTemporal Data Analysis, Statistical Inference, Statistics, Tensor Analysis, Time Series Analysis 
Paramveer DhillonAssistant Professor,School of Information Methodologies: Causal Inference, Deep Learning, Econometrics, Machine Learning, Natural Language Processing, Statistical Inference 
Ivo D. DinovProfessor,Computational Medicine and Bioinformatics Associate Director, Education and Training SubCommittee Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Management, Data Mining, Data Munging, Data Visualization, Deep Learning, Machine Learning, Mathematics, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Signal Processing, Statistical Inference, Statistical Modeling, Statistics 
Kevin DombkowskiResearch Professor,Pediatrics, Michigan Medicine Methodologies: Data Collection Design, Data Management, Data Mining, Realtime Data Processing 
Nicholas DouvilleLecturer,Anesthesiology Methodologies: Artificial Intelligence, Computational Tools for Data Science, Data Management, Deep Learning, Machine Learning, Missing Data and Imputation, Natural Language Processing, Realtime Data Processing, Statistical Modeling 
Karthik DuraisamyAssociate Professor,Aerospace Engineering, College of Engineering Methodologies: Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Machine Learning, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Inference 
Allison Earl,Psychology Methodologies: Computational Tools for Data Science, Longitudinal Data Analysis 
Ron EglashProfessor,School of Information Methodologies: Artificial Intelligence, HumanComputer Interaction 
Joseph EisenbergProfessor and Chair of Epidemiology,Epidemiology Methodologies: Causal Inference, Dynamical Models, Geographic Information Systems 
Issam El NaqaAssociate Professor,Radiation Oncology, Michigan Medicine Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Mining, Data Visualization, Deep Learning, Dynamical Models, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, HumanComputer Interaction, Image Data Processing and Analysis, Information Theory, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Signal Processing, Statistical Modeling 
Michael ElliottProfessor,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 
Bogdan I. EpureanuProfessor,Department of Mechanical Engineering Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Data Visualization, Deep Learning, HumanComputer Interaction, Machine Learning, Mathematics, Predictive Modeling, Realtime Data Processing, Signal Processing, SpatioTemporal Data Analysis, Statistical Modeling 
Barbara Jane Ericson,School of Information Methodologies: Artificial Intelligence, Computational Tools for Data Science, HumanComputer Interaction 
Birhanu EsheteAssistant Professor,Computer and Information Science, College of Engineering and Computer Science Methodologies: Causal Inference, Classification, Data Security and Privacy, Deep Learning, Graph Theory and Graphbased Methods, Longitudinal Data Analysis, Machine Learning 
August (Gus) EvrardProfessor,Physics and Astronomy, LSA Methodologies: Computational Tools for Data Science 
Tayo FabusuyiAssistant Research Scientist,Transportation Research Institute Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Machine Learning, Optimization, Predictive Modeling, SpatioTemporal Data Analysis 
Xudong (Sherman) FanProfessor,Biomedical Engineering Methodologies: Artificial Intelligence, Data Mining, Machine Learning, Signal Processing 
Christopher FarissAssistant 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 
Negar FarzanehResearch Investigator,Emergency Medicine Methodologies: Artificial Intelligence, Classification, Deep Learning, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Signal Processing 
Salar FattahiAssistant Professor,Industrial and Operations Engineering Methodologies: Computational Tools for Data Science, Dynamical Models, Graph Theory and Graphbased Methods, HighDimensional Data Analysis, Machine Learning, Optimization, Sparse Data Analysis, SpatioTemporal Data Analysis 
Fred FeinbergProfessor,Marketing, Ross School of Business Methodologies: Bayesian Methods, Dynamical Models, Machine Learning, Statistical Modeling 
Fred FengAssistant Professor,Industrial and Manufacturing Systems Engineering, University of MichiganDearborn Methodologies: Causal Inference, Data Visualization, HumanComputer Interaction, Machine Learning, Predictive Modeling, Statistical Inference 
Anne FernandezAssistant Professor,Psychiatry Methodologies: Data Collection Design, Longitudinal Data Analysis, Machine Learning, Natural Language Processing 
Jeff FesslerProfessor,EECS, College of Engineering

Benjamin FishAssistant Professor,Computer Science and Engineering, Electrical Engineering and Computer Science Methodologies: Artificial Intelligence, Machine Learning 
Carol FlannaganResearch 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 
Allyson FlasterAssistant Research Scientist,Methodologies: Data Collection Design, Data Management, Survey Methodology 
Nancy FleischerAssociate 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 
Danny ForgerProfessor,Mathematics, LSA Methodologies: Computational Tools for Data Science, Mathematics 
David FouheyAssistant Professor,Electrical Engineering and Computer Science Methodologies: Artificial Intelligence, Deep Learning, Machine Learning, Pattern Analysis and Classification 
Edgar FrancoVivancoAssistant Professor,Political Science Methodologies: Causal Inference, Computational Tools for Data Science, Deep Learning, Econometrics, Machine Learning, Natural Language Processing, Statistical Inference 
Robert J. Franzese Jr.Professor and Associate Chair,Political Science, LSA Methodologies: Dynamical Models, Econometrics, Network Analysis, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics 
Gary L. FreedProfessor of Pediatrics,Pediatrics Methodologies: Causal Inference, Data Management, Data Mining, Data Quality, Data Visualization, Econometrics, Geographic Information Systems, Longitudinal Data Analysis 
Ayumi FujisakiManomeAssistant Research Scientist,CIGLR in SEAS Methodologies: Deep Learning, Dynamical Models, Geographic Information Systems, Machine Learning 
Johann GagnonBartschAssistant Professor,Statistics, LSA Methodologies: Causal Inference, Classification, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics 
Andrzej T GaleckiResearch Professor,Institute of Gerontology, Michigan Medicine Methodologies: Dynamical Models, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling 
Lana GarmireAssociate Professor,Computational medicine and Bioinformatics Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Deep Learning, Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, SpatioTemporal Data Analysis 
William J. GehringArthur F. Thurnau Professor of Psychology,Psychology Methodologies: Artificial Intelligence, Causal Inference, Machine Learning, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Signal Processing 
Anne Ruggles GereArthur Thurnau Professor of English and Gertrude Buck Collegiate Professor of Education,Department of English Methodologies: Longitudinal Data Analysis, Natural Language Processing 
Hamid GhanbariAssistant Professor,Internal Medicine Methodologies: Artificial Intelligence, Deep Learning, Digital Data Curation, Machine Learning 
Eric GilbertJohn Derby Evans Associate Professor,School of Information Methodologies: Artificial Intelligence, Causal Inference, HumanComputer Interaction, Machine Learning 
Brenda GillespieAssociate 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 
Sharon GlotzerProfessor,Chemical Engineering, College of Engineering Applications: Chemistry and Chemical Engineering 
Oleg GnedinProfessor,Astronomy Methodologies: Computational Tools for Data Science, Data Visualization, Machine Learning, Statistical Modeling 
Jessica GolbusCardiology Fellow,Internal Medicine, Michigan Medicine Applications: Human Subjects Trials and Intervention Studies, Mobile Devices 
Bryan R. GoldsmithAssistant Professor,Chemical Engineering, College of Engineering Methodologies: Data Mining, Predictive Modeling 
Jason GoldstickResearch Associate Professor,Injury Prevention Center Methodologies: Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Tamas GombosiKonstantin Gringauz Distinguished University Professor of Space Science,Climate and Space Sciences and Engineering Methodologies: Machine Learning, Predictive Modeling 
Rich GonzalezProfessor,Psychology, LSA Education and Training SubCommittee Methodologies: Data Visualization, Statistical Inference 
Amie GordonAssistant Professor of Psychology,Department of Psychology Methodologies: Data Collection Design, Longitudinal Data Analysis, Time Series Analysis 
Alex GorodetskyAssistant Professor,Department of Aerospace Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Dynamical Models, HighDimensional Data Analysis, Mathematics, Optimization, Statistical Inference, Tensor Analysis 
Ben GreenAssistant Professor,Ford School of Public Policy, Methodologies: Data Mining, HumanComputer Interaction, Machine Learning, Network Analysis 
Andrew GroganKaylorAssociate Professor,School of Social Work Methodologies: Bayesian Methods, Data Visualization, Longitudinal Data Analysis, Natural Language Processing 
Andrew GronewoldAssociate Professor,School for Environment and Sustainability Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Management, Data Visualization, Predictive Modeling, Statistical Inference, Statistical Modeling 
Carina GronlundResearch Assistant Professor,Institute for Social Research, Survey Research Center Methodologies: Bayesian Methods, Causal Inference, Longitudinal Data Analysis, Missing Data and Imputation, SpatioTemporal Data Analysis, Statistical Modeling, Survey Methodology, Time Series Analysis 
Yuanfang GuanAssistant Professor,Computational Medicine and Bioinformatics, Michigan Medicine Methodologies: Machine Learning, Network Analysis 
Timothy C. GuettermanAssistant Professor,Family Medicine Methodologies: Natural Language Processing 
Emanuel GullAssistant Professor,Physics, LSA Methodologies: Bayesian Methods, HighDimensional Data Analysis, Information Theory, Mathematics, Optimization, Tensor Analysis 
Lubomir HadjiyskiProfessor,Department of Radiology Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Data Visualization, Deep Learning, Dynamical Models, HighDimensional Data Analysis, HumanComputer Interaction, Image Data Processing and Analysis, Machine Learning, Natural Language Processing, Optimization, Pattern Analysis and Classification, Predictive Modeling 
J. Alex HaldermanProfessor,Computer Science and Engineering Methodologies: Data Security and Privacy 
Jesse HamiltonAssistant Professor,Radiology Methodologies: Artificial Intelligence, Deep Learning, Image Data Processing and Analysis, Machine Learning, Mathematics, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Signal Processing, Sparse Data Analysis, SpatioTemporal Data Analysis, Time Series Analysis 
Robert HampshireAssociate Professor of Public Policy,Gerald R. Ford School of Public Policy Methodologies: Dynamical Models, Geographic Information Systems, Heterogeneous Data Integration, Predictive Modeling, SpatioTemporal Data Analysis 
David HanauerClinical Associate Professor,Learning Health Sciences Methodologies: Computational Tools for Data Science, Data Mining, Natural Language Processing 
Edward G. HappExecutive Fellow, Research Investigator,School of Information Applications: Management Science 
Derek HarmonAssistant Professor,Strategy, Ross School of Business Methodologies: Artificial Intelligence, Natural Language Processing 
Marcelline HarrisAssociate Professor,Systems, Populations and Leadership, School of Nursing Methodologies: Predictive Modeling 
Catherine HausmanAssociate Professor,Ford school of Public Policy Methodologies: Causal Inference, Econometrics, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Xuming HeProfessor,Statistics, LSA Methodologies: Bayesian Methods, HighDimensional Data Analysis, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics 
Yongqun (Oliver) HeAssociate Professor,Microbiology and Immunology, Michigan Medicine Methodologies: Bayesian Methods, Ontology 
Margaret HedstromProfessor,School of Information Challenge SubCommittee Methodologies: Data Management, Digital Data Curation 
Libby HemphillResearch Associate Professor,UMSI Methodologies: Classification, Data Management, Data Munging, Deep Learning, Digital Data Curation, Machine Learning, Natural Language Processing, Pattern Analysis and Classification 
Nicholas HendersonAssistant Professor,Biostatistics Methodologies: Bayesian Methods, Causal Inference, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling 
Áine HeneghanAssociate Professor,Music Theory, School of Music, Theatre & Dance Methodologies: Computational Tools for Data Science 
Alfred HeroProfessor,EECS, College of Engineering Management Committee Methodologies: Data Collection Design, Data Mining, Data Visualization, Heterogeneous Data Integration, Machine Learning, Network Analysis, Optimization, Signal Processing 
Todd I HerrenkohlProfessor,School of Social Work Methodologies: Data Mining, Longitudinal Data Analysis, Missing Data and Imputation, Survey Methodology 
Joseph HimleProfessor,School of Social Work Applications: Children and Adolescents, Clinical Research, Epidemiology, Mental Health 
James R. Hines Jr.,L. Hart Wright Collegiate Professor of Law Methodologies: Econometrics, Natural Language Processing, Statistical Inference 
Jana HirschtickResearch Investigator,Epidemiology Methodologies: Data Collection Design, Data Management, Data Quality, Data Visualization, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology 
Todd HollonAssistant Professor,Department of Neurosurgery Methodologies: Artificial Intelligence, Classification, Deep Learning, Machine Learning 
Zhen HuAssistant Professor,Department of Industrial and Manufacturing Systems Engineering Methodologies: 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 
Jingwen HuAssociate Research Scientist,Transportation Research Institute Methodologies: Computational Tools for Data Science 
Xun HuanAssistant Professor,Mechanical Engineering Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Sparse Data Analysis, Statistical Inference 
Xianglei HuangProfessor,Department of Climate and Space Sciences and Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Mining, Data Visualization, Deep Learning, HighDimensional Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Statistical Modeling, Statistics, Time Series Analysis 
Muzammil M. HussainAssistant Professor,Communication Studies, LSA Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, HumanComputer Interaction, Network Analysis 
Edward IonidesProfessor,Statistics, LSA Methodologies: Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Deanna IsamanResearch Assistant Professor,School of Nursing Methodologies: Statistical Modeling, Statistics 
Christiane JablonowskiAssociate Professor,Climate and Space Sciences and Engineering Methodologies: Artificial Intelligence, Deep Learning, Dynamical Models, Machine Learning, Predictive Modeling 
Abigail JacobsAssistant Professor,Information, School of Information Methodologies: Bayesian Methods, Causal Inference, Graph Theory and Graphbased Methods, Machine Learning, Network Analysis, Statistical Inference 
H. V. JagadishEdgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor; MIDAS Director,EECS, College of Engineering Director Methodologies: Data Management, Data Science Ethics, Data Security and Privacy, Database Systems and Infrastructure, Heterogeneous Data Integration, Responsible AI 
Meha JainAssistant Professor,School for Environment and Sustainability Methodologies: Causal Inference, Classification, Deep Learning, Econometrics, Geographic Information Systems, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics 
Stefanus JasinAssociate Professor of Technology and Operations,Ross School of Business Methodologies: Artificial Intelligence, Computational Tools for Data Science, Dynamical Models, Econometrics, Graph Theory and Graphbased Methods, HumanComputer Interaction, Machine Learning, Mathematics, Network Analysis, Optimization, Predictive Modeling, Statistical Modeling, Statistics, Time Series Analysis 
Judy JinProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Causal Inference, Heterogeneous Data Integration, Machine Learning, Pattern Analysis and Classification, SpatioTemporal Data Analysis, Statistics, Tensor Analysis 
Timothy D. JohnsonProfessor,Biostatistics, School of Public Health Methodologies: Bayesian Methods, Classification, Dynamical Models, HighDimensional Data Analysis, Image Data Processing and Analysis, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Vicki JohnsonLawrenceAssistant Professor,Public Health and Health Sciences Applications: Epidemiology, Human Development, Mental Health 
Matthew JohnsonRobersonAssistant Professor,EECS, College of Engineering Methodologies: Data Visualization, Heterogeneous Data Integration, Machine Learning 
Joyce PennerProfessor,Climate and Space Sciences and Engineering Methodologies: Artificial Intelligence, Causal Inference, Computational Tools for Data Science, Statistical Modeling 
David JurgensAssistant Professor,School of Information Methodologies: Data Mining, Deep Learning, Machine Learning, Natural Language Processing, SpatioTemporal Data Analysis 
Niko KacirotiResearch Scientist,Pediatrics Methodologies: Bayesian Methods, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Statistical Modeling 
Jack D. KalbfleischProfessor Emeritus,Biostatistics, School of Public Health Methodologies: Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics 
Hyun Min KangAssociate Professor,Biostatistics, School of Public Health Methodologies: Computational Tools for Data Science, Data Visualization, HighDimensional Data Analysis, Machine Learning, Statistical Inference, Statistics 
Jian KangAssociate Professor,Biostatistics Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Graph Theory and Graphbased Methods, HighDimensional Data Analysis, HumanComputer Interaction, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, SpatioTemporal Data Analysis 
Trishul KapoorHouse Officer and CSTAR Fellow,Department of Anesthesiology Methodologies: Artificial Intelligence, Causal Inference, Data Mining, Deep Learning, Digital Data Curation, Machine Learning, Natural Language Processing 
Steven J. KatzProfessor,Internal Medicine, School of Public Health Methodologies: Longitudinal Data Analysis, Natural Language Processing, Survey Methodology 
Daniel P. KeatingProfessor,Psychology Methodologies: Causal Inference, Data Quality, Digital Data Curation, Heterogeneous Data Integration 
Evan KellerProfessor of Urology and Pathology,Urology Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Statistics 
Branko KerkezAssistant Professor,Civil and Environmental Engineering, College of Engineering Applications: Civic Infrastructure, Environmental Sciences, Sensors and Sensor Networks, Urban Planning 
Marouane KessentiniAssistant Professor,Computer and Information Science, College of Engineering and Computer Science Methodologies: Artificial Intelligence, Computational Tools for Data Science, Optimization 
James KibbieUniversity Organist, Professor and Chair,Organ, School of Music, Theatre & Dance Applications: Music 
John KiefferProfessor,Materials Science and Engineering, College of Engineering Methodologies: Predictive Modeling 
Jinseok KimResearch Assistant Professor,Institute for Social Research Methodologies: Data Quality, Heterogeneous Data Integration, Machine Learning, Network Analysis 
Aaron A. KingProfessor,Ecology and Evolutionary Biology Methodologies: 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, HighDimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Predictive Modeling, Signal Processing, SpatioTemporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Brendan KochunasAssistant Professor,Nuclear Engineering and Radiological Sciences Methodologies: Bayesian Methods, Deep Learning, Dynamical Models, Machine Learning, Predictive Modeling, Realtime Data Processing, Sparse Data Analysis, Statistical Inference, Time Series Analysis 
Ken KollmanProfessor,Political Science Methodologies: Data Collection Design, Data Management, Data Quality, Database Systems and Infrastructure, Geographic Information Systems, Heterogeneous Data Integration, Missing Data and Imputation, SpatioTemporal Data Analysis 
Barbara KoremenosProfessor,Political Science Applications: Law, Policy Research, Political Science 
Antonios M. KoumpiasAssistant Professor,Social Sciences, College of Arts, Sciences, and Letters Methodologies: Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning, Time Series Analysis 
Danai KoutraAssistant Professor,Computer Science and Engineering, College of Engineering Methodologies: Computational Tools for Data Science, Data Mining, Data Visualization, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, Network Analysis, Optimization 
Amanda KowalskiGail Wilensky Professor of Applied Economics and Public Policy,Department of Economics Methodologies: Causal Inference, Computational Tools for Data Science, Econometrics, Statistical Inference 
Anna KratzAssistant Professor,Physical Medicine and Rehabilitation, Michigan Medicine Methodologies: Data Visualization, Machine Learning, Signal Processing, Statistical Modeling 
Andrew KrummAssistant 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 
Kenichi KurodaAssociate Professor,School of Dentistry Methodologies: Artificial Intelligence, Machine Learning 
Arpan KusariAssistant Research Scientist,Assistant Research Scientist, UMTRI Methodologies: Artificial Intelligence, Classification, Deep Learning, Machine Learning, Realtime Data Processing, SpatioTemporal Data Analysis 
Sindhu KuttyLecturer III,Computer Science and Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Collection Design, HumanComputer Interaction, Machine Learning 
Jaerock KwonAssistant Professor,University of MichiganDearborn Methodologies: Artificial Intelligence, Deep Learning, HumanComputer Interaction, Image Data Processing and Analysis, Machine Learning, Pattern Analysis and Classification 
Rahul LadhaniaAssistant Professor of Health Informatics,Health Management & Policy Methodologies: Artificial Intelligence, Causal Inference, Data Visualization, Econometrics, Machine Learning, Time Series Analysis 
Sara LafiaResearch Investigator,ICPSR Methodologies: Classification, Data Management, Data Mining, Data Munging, Data Quality, Data Visualization, Digital Data Curation, Geographic Information Systems, Natural Language Processing, Ontology 
Jeffrey C. LagariasProfessor,Mathematics, LSA Methodologies: Information Theory, Mathematics, Network Analysis, Number Theory, Optimization 
Carl LagozeAssociate Professor,School of Information Applications: Citizen Science, Cyberinfrastructure, Escience, scientometrics 
Ronald Gary LarsonAH White Distinguished University Professor,Chemical Engineering Methodologies: Computational Tools for Data Science, Dynamical Models, Graph Theory and Graphbased Methods 
Jon LeeG. Lawton and Louise G. Johnson Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Graph Theory and Graphbased Methods, Information Theory, Mathematics, Optimization, SpatioTemporal Data Analysis 
Honglak LeeAssociate Professor,Computer Science and Engineering, College of Engineering Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Machine Learning 
Sunghee LeeResearch 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 
Peter LenkProfessor,Technology and Operations, Ross School of Business Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Mining, Dynamical Models, Econometrics, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Susan Hautaniemi LeonardAssociate Research Scientist,ISR/ICPSR Methodologies: Data Management, Data Security and Privacy, Image Data Processing and Analysis, Longitudinal Data Analysis 
Felipe da Veiga LerprevostResearch Investigator,Department of Pathology Methodologies: Computational Tools for Data Science, Data Visualization 
Margaret C. LevensteinDirector,Interuniversity Consortium for Political and Social Research Management Committee Methodologies: Data Security and Privacy 
Elizaveta LevinaVijay Nair Collegiate Professor,Statistics, LSA Methodologies: Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Sparse Data Analysis, Statistical Inference, Statistical Modeling, Statistics 
Lisa LevinsonLecturer III,Linguistics Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, Information Theory, Natural Language Processing, Psychometrics, Statistics 
Gen LiAssistant Professor,Department of Biostatistics Methodologies: Computational Tools for Data Science, Data Mining, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Network Analysis, Predictive Modeling, Sparse Data Analysis, Statistical Modeling, Statistics, Tensor Analysis 
Jun LiAssistant Professor,Technology and Operations, Ross School of Business Methodologies: Causal Inference, Econometrics, Network Analysis, Statistics 
Jun LiProfessor,Computational Medicine and Bioinformatics, Michigan Medicine Core Faculty Methodologies: Heterogeneous Data Integration, HighDimensional Data Analysis, Missing Data and Imputation 
Yi LiProfessor,Biostatistics, School of Public Health Methodologies: HighDimensional Data Analysis 
Donald S. LikoskyProfessor of Cardiac Surgery,Methodologies: Artificial Intelligence, Data Collection Design, Data Management, Database Systems and Infrastructure 
Brian LinAssistant Research Scientist,University of Michigan Transportation Research Institute Methodologies: Classification, Data Mining, HumanComputer Interaction, Statistical Modeling, Statistics 
Roderick LittleProfessor,Biostatistics, School of Public Health Methodologies: Bayesian Methods, Causal Inference, Missing Data and Imputation, Statistical Modeling, Survey Methodology 
Mingyan LiuProfessor,EECS, College of Engineering Methodologies: Causal Inference, Data Mining, Machine Learning, Network Analysis, Optimization, Statistical Modeling 
Zhongming LiuAssociate Professor,Biomedical Engineering Methodologies: Artificial Intelligence, Deep Learning, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Signal Processing, SpatioTemporal Data Analysis, Statistical Inference 
Zhixin (Jason) LiuAssociate Professor,College of Business, University of MichiganDearborn Methodologies: Optimization, Statistics, Time Series Analysis 
Jie LiuAssistant Professor,Computational Medicine and Bioinformatics Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference 
Henry LiuProfessor,Civil and Environmental Engineering, College of Engineering Methodologies: Artificial Intelligence, Data Mining, Machine Learning 
Hernán LópezFernándezAssociate Professor and Associate Curator of Fishes,Ecology and Evolutionary Biology Methodologies: Data Collection Design, Data Management, Database Systems and Infrastructure, Digital Data Curation, Heterogeneous Data Integration, Image Data Processing and Analysis, Longitudinal Data Analysis, SpatioTemporal Data Analysis, Statistical Modeling 
Vahid LotfiSenior Vice Provost and Professor,Management Sciences, Flint School of Management Methodologies: Classification, Data Mining, Optimization, Predictive Modeling 
Wei LuProfessor,Mechanical Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Deep Learning 
Jin LuAssistant Professor,Department of Computer and Information Science, College of Engineering and Computer Science Methodologies: Data Mining, Deep Learning, Heterogeneous Data Integration, Machine Learning, Missing Data and Imputation, Optimization 
Kathryn Luker,Radiology Methodologies: Artificial Intelligence, Classification, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Signal Processing 
Gary LukerProfessor,Radiology Methodologies: Data Visualization, Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis 
Jerome P. LynchProfessor, Donald Malloure Department Chair,Civil and Environmental Engineering, College of Engineering Methodologies: 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, Realtime Data Processing, Signal Processing, SpatioTemporal Data Analysis, Time Series Analysis 
Di MaAssociate Professor,Computer and Information Science, College of Engineering and Computer Science Methodologies: Data Security and Privacy 
Puneet ManchandaProfessor,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 
Ward B. ManchesterResearch Professor,Climate and Space Science and Engineering Methodologies: Classification, Data Mining, Predictive Modeling 
Robert ManducaAssistant Professor,Sociology Methodologies: Data Visualization, Geographic Information Systems, Machine Learning, SpatioTemporal Data Analysis 
Murali ManiProfessor,Computer Science Methodologies: Data Management, Data Visualization 
Z. Morley MaoProfessor,Computer Science Engineering, College of Engineering Methodologies: Machine Learning 
John E MarcotteArchivist; Clinical Adjunct,Institute for Social Research, School of Nursing Methodologies: Computational Tools for Data Science, Data Management, Data Security and Privacy, Digital Data Curation, Statistics, Survey Methodology 
Jason MarsAssistant Professor,Computer Science and Engineering, College of Engineering Methodologies: Artificial Intelligence, Data Collection Design, Deep Learning, Machine Learning, Natural Language Processing 
Neda MasoudAssistant Professor,Civil and Environmental Engineering, College of Engineering Methodologies: Classification, Computational Tools for Data Science, Data Mining, Graph Theory and Graphbased Methods, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing 
Heather B. MayesAssistant Professor,Chemical Engineering, College of Engineering Methodologies: Data Visualization 
Charles MayoAssociate Professor,Radiation Oncology, Michigan Medicine Methodologies: Machine Learning 
Brian P. McCallProfessor,Education, School of Education Methodologies: Dynamical Models, Econometrics, Optimization, Statistics 
Jeffrey S. McCulloughAssociate Professor,Health Management and Policy, School of Public Health Methodologies: Bayesian Methods, Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning 
Timothy McKayProfessor,Physics, LSA Challenge SubCommittee Methodologies: Causal Inference, Classification, Data Collection Design, Data Munging, Data Visualization, HumanComputer Interaction, Missing Data and Imputation, Natural Language Processing, Statistical Inference 
Walter MebaneProfessor,Political Science, LSA Methodologies: Geographic Information Systems, Machine Learning, Statistics 
Qiaozhu MeiAssociate Professor,School of Information Methodologies: Data Mining, Machine Learning, Natural Language Processing, Network Analysis 
Niccolò MeneghettiAssistant Professor,Department of Computer and Information Science, University of MichiganDearborn Methodologies: 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 
Briana MezukAssociate Chair and Associate Professor, Epidemiology,Department of Epidemiology Director Methodologies: Machine Learning, Pattern Analysis and Classification, Survey Methodology 
Eric MichielssenAssociate Dean for Research,College of Engineering Methodologies: Mathematics 
Rada MihalceaProfessor,EECS, College of Engineering Core Faculty, Management Committee Methodologies: Artificial Intelligence, Computational Tools for Data Science, Graph Theory and Graphbased Methods, HumanComputer Interaction, Machine Learning, Natural Language Processing 
Christopher MillerAssistant Professor,Astronomy, LSA Methodologies: Bayesian Methods, Classification, Data Mining, Mathematics, Statistics 
Gregory S. MillerErnst 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 
A.J. MillionResearch Investigator,Interuniversity Consortium for Political and Social Research Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Munging, Data Quality, Data Security and Privacy, Digital Data Curation, HumanComputer Interaction, Information Theory, Longitudinal Data Analysis, Statistics, Survey Methodology 
Brian MinAssociate Professor,Political Science, LSA Methodologies: Image Data Processing and Analysis 
Aditi MisraAssistant Research Scientist,University of Michigan Transportation Research Institute Methodologies: Artificial Intelligence, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Deep Learning, Econometrics, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Ontology, Pattern Analysis and Classification, SpatioTemporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Survey Methodology 
Colter MitchellFaculty Associate,Population Studies Center Methodologies: Heterogeneous Data Integration 
Zeina MneimnehAssistant Research Scientist,Survey Research Center Methodologies: Data Collection Design, Missing Data and Imputation, Survey Methodology 
Victoria MorckelAssociate Professor,Geography, Planning, & Environment Methodologies: Data Visualization, Econometrics, Geographic Information Systems, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis 
Jeffrey MorenoffProfessor,Sociology Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Digital Data Curation, Longitudinal Data Analysis, Missing Data and Imputation, SpatioTemporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Survey Methodology 
Emily Mower ProvostAssistant Professor,Computer Science and Engineering, College of Engineering Methodologies: Artificial Intelligence, Classification, Data Collection Design, Deep Learning, Machine Learning, Pattern Analysis and Classification 
Barzan MozafariMorris Wellman Assistant Professor,EECS, College of Engineering Methodologies: Causal Inference, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Predictive Modeling, Realtime Data Processing, Statistical Inference, Statistics, Time Series Analysis 
Bhramar MukherjeeProfessor,Biostatistics, School of Public Health Core Faculty, Faculty Recruitment and Engagement SubCommittee Methodologies: Bayesian Methods, Missing Data and Imputation, Statistics 
Yi Lu MurpheyProfessor,Electrical and Computer Engineering, College of Engineering and Computer Science Methodologies: Machine Learning, Pattern Analysis and Classification 
Raj Rao NadakuditiAssociate Professor,EECS, College of Engineering Core Faculty, Education and Training SubCommittee Methodologies: HighDimensional Data Analysis, Machine Learning, Mathematics, Signal Processing, Time Series Analysis 
Viswanath NagarajanAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Optimization 
Inbal (Billie) NahumShaniResearch Associate Professor,Institute for Social Research Methodologies: Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling 
Kayvan NajarianProfessor,Computational Medicine and Bioinformatics, Emergency Medicine Associate Director Methodologies: Machine Learning, Signal Processing 
Brahmajee NallamothuProfessor,Internal Medicine, Michigan Medicine Core Faculty Methodologies: Data Mining, Machine Learning, Predictive Modeling 
Nambi NallasamyAssistant Professor of Ophthalmology and Visual Sciences and Assistant Professor of Computational Medicine and Bioinformatics,Ophthalmology and Visual Sciences Methodologies: Artificial Intelligence, Computational Tools for Data Science, Database Systems and Infrastructure, Machine Learning, Natural Language Processing, Predictive Modeling 
Romesh P. NalliahAssociate Dean for Patient Services,School of Dentistry Methodologies: Data Management, Data Mining, Data Visualization, Optimization 
Satish NarayanasamyAssociate Professor,EECS, College of Engineering Faculty Recruitment and Engagement SubCommittee Methodologies: Machine Learning 
Joshua P NewellAssociate Professor,School for Environment and Sustainability Methodologies: Data Visualization, Geographic Information Systems, Machine Learning, SpatioTemporal Data Analysis, Survey Methodology 
Long NguyenProfessor,Statistics, LSA Faculty Recruitment and Engagement SubCommittee, Management Committee Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Deep Learning, Dynamical Models, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Signal Processing, Sparse Data Analysis, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis 
Quan NguyenResearch Investigator,School of Information Methodologies: Network Analysis, Time Series Analysis 
Davon NorrisLSA Collegiate Fellow/Assistant Professor of Organizational Studies,Organizational Studies Methodologies: Longitudinal Data Analysis, Statistics 
Elle O’BrienLecturer III; Research Investigator,School of Information Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Management, Data Mining, Data Quality, Database Systems and Infrastructure, Deep Learning, Dynamical Models, Information Theory, Longitudinal Data Analysis, Machine Learning, Mathematics, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Signal Processing, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis 
Marie O’NeillProfessor of Epidemiology and Environmental Health Sciences,School of Public Health Methodologies: Causal Inference, Data Collection Design, Data Management, Data Visualization, Geographic Information Systems, Predictive Modeling, SpatioTemporal Data Analysis 
Jim OmartianAssistant Professor of Accounting,Ross School of Business Methodologies: Causal Inference, Data Visualization, Econometrics, Geographic Information Systems, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference 
Gilbert S. OmennProfessor,Computational Medicine and Bioinformatics Methodologies: Heterogeneous Data Integration 
Gabor OroszAssociate Professor,Department of Mechanical Engineering Methodologies: Dynamical Models, Machine Learning 
Luis E. OrtizAssistant Professor,Computer and Information Science, College of Engineering and Computer Science Methodologies: Artificial Intelligence, Computational Tools for Data Science, Machine Learning, Mathematics, Statistics 
Jason OwenSmithProfessor,Institute for Research on Innovation and Science (IRIS) Methodologies: Data Management, Data Security and Privacy, Data Visualization, Network Analysis 
Necmiye OzayAssistant Professor,EECS, College of Engineering Methodologies: Computational Tools for Data Science, Dynamical Models, Optimization, Realtime Data Processing 
Joyojeet PalAssociate Professor,School of Information Applications: Global Development, Political Science 
Ranjan PalAssistant Research Scientist,Electrical and Computer Engineering Methodologies: Data Collection Design, Data Management, Data Quality, Data Security and Privacy, Econometrics, Machine Learning, Missing Data and Imputation, Predictive Modeling, Sparse Data Analysis, Statistical Inference, Statistics, Time Series Analysis 
Yulin PanAssistant Professor,Department of Naval Architecture and Marine Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Dynamical Models, HighDimensional Data Analysis, Machine Learning, Mathematics, Number Theory, Predictive Modeling, Realtime Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Shobita ParthasarathyProfessor and Director, Science, Technology, and Public Policy Program,Ford School of Public Policy Methodologies: Artificial Intelligence, Classification, Data Mining, Data Quality, Machine Learning 
Josh PasekAssociate Professor,Communication Studies, LSA Associate Director Methodologies: Bayesian Methods, Causal Inference, Data Visualization, HumanComputer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Ashley PayneAssistant Professor,Climate and Space Sciences and Engineering Methodologies: Classification, Data Management, Data Visualization, Image Data Processing and Analysis, Pattern Analysis and Classification, SpatioTemporal Data Analysis, Time Series Analysis 
Huei PengProfessor,Mechanical Engineering, Mcity Methodologies: Artificial Intelligence, Dynamical Models 
Brian PerronAssociate Professor,School of Social Work Methodologies: Data Management, Data Visualization, Digital Data Curation 
Mark PetersonAssistant Professor,Physical Medicine and Rehabilitation, Michigan Medicine

Fabian PfefferAssociate Professor of Sociology; Research Associate Professor at the Institute for Social Research; Director of the Stone Center for Inequality Dynamics,Department of Sociology Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Data Visualization, Econometrics, Longitudinal Data Analysis, Missing Data and Imputation, Survey Methodology 
Amy PientaResearch Scientist,ICPSR Methodologies: Data Management, Data Quality, Data Security and Privacy, Longitudinal Data Analysis 
Jodyn PlattAssistant Professor,Medical School, Department of Learning Health Sciences Methodologies: Artificial Intelligence, Data Security and Privacy, Survey Methodology 
Timothy PletcherExecutive Director,Michigan Health Information Network Methodologies: Data Mining, Dynamical Models, Image Data Processing and Analysis 
Robert PloutzSnyderResearch 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 
Keshav PokhrelAssistant Professor,Statistics, LSA Methodologies: Predictive Modeling, Time Series Analysis 
Stephen M. PollockProfessor Emeritus,Industrial and Operations Engineering, College of Engineering Methodologies: Bayesian Methods, Optimization 
Vitaliy PopovAssistant Professor,Medical School, Department of Learning Health Sciences Methodologies: HumanComputer Interaction, Pattern Analysis and Classification, Signal Processing, Statistical Modeling 
Laura PowerClinical Assistant Professor,Department of Epidemiology, School of Public Health Applications: Epidemiology, Population Sciences, Public Health 
S. Sandeep PradhanProfessor,EECS Methodologies: Information Theory, Statistical Inference 
Atul PrakashProfessor,EECS, College of Engineering Methodologies: Classification, Data Security and Privacy, Deep Learning, Optimization 
J.J. PrescottHenry King Ransom Professor of Law,Law School Methodologies: Causal Inference, Classification, Data Collection Design, Data Visualization, Econometrics, Geographic Information Systems, HighDimensional Data Analysis, Machine Learning, Missing Data and Imputation, Natural Language Processing, Optimization, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology 
Nicholson PriceAssistant Professor of Law,School of Law Methodologies: Artificial Intelligence, Data Security and Privacy, Deep Learning, Machine Learning 
Amiyatosh PurnanandamMichael Stark Professor of Finance, Chair of Finance Area,Ross School of Business Methodologies: Causal Inference, Econometrics, HighDimensional Data Analysis, Statistical Inference, Statistical Modeling 
Qing QuAssistant Professor,EECS Methodologies: Artificial Intelligence, Computational Tools for Data Science, Deep Learning, HighDimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Machine Learning, Optimization, Pattern Analysis and Classification, Signal Processing, Sparse Data Analysis 
Kevin QuinnProfessor,Political Science, LSA Faculty Recruitment and Engagement SubCommittee Methodologies: Statistics 
Jenny RadeskyAssistant Professor,University of Michigan Medical School Methodologies: HumanComputer Interaction 
Trivellore E. RaghunathanDirector 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 
Indika RajapakseAssociate Professor,Computational Medicine and Bioinformatics, Medical School Applications: Bioinformatics 
Venkat RamanAssociate Professor,Aerospace Engineering, College of Engineering Methodologies: Predictive Modeling 
Arvind RaoAssociate Professor,Computational Medicine and Bioinformatics, Michigan Medicine Core Faculty Methodologies: Data Mining, Heterogeneous Data Integration, Image Data Processing and Analysis 
Jeffrey RegierAssistant Professor,Statistics Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Data Mining, Deep Learning, HighDimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Rudy J. RichardsonDow Professor Emeritus of Toxicology and Associate Professor Emeritus of Neurology,Dow Professor Emeritus of Toxicology Methodologies: Computational Tools for Data Science, Data Visualization 
Ya’acov RitovProfessor,Department of Statistics Methodologies: Bayesian Methods, Causal Inference, Classification, Deep Learning, HighDimensional Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Signal Processing, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Elizabeth F. S. RobertsProfessor,Department of Anthropology Methodologies: Causal Inference, Data Collection Design, Data Management, Data Quality, Database Systems and Infrastructure, Digital Data Curation, Longitudinal Data Analysis, Statistical Modeling 
Daniel RomeroAssociate Professor,School of Information Methodologies: Data Mining, Machine Learning 
Elliott RouseAssistant Professor,Department of Mechanical Engineering Methodologies: Artificial Intelligence, Deep Learning, Machine Learning, Realtime Data Processing, Signal Processing, Time Series Analysis 
Michael RubyanClinical Assistant Professor,Health Management. of Policy Methodologies: Digital Data Curation, HumanComputer Interaction 
Joseph RyanAssociate Professor,School of Social Work Methodologies: Data Visualization 
Greg RybarczykAssociate Professor,Geography, Planning and Environment Methodologies: Data Management, Data Visualization, Geographic Information Systems, Human Wayfinding, Network Analysis, Predictive Modeling, SpatioTemporal Data Analysis, Statistical Modeling, Travel Demand Modeling 
Romesh SaigalProfessor,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 
Perry SamsonProfessor,Climate and Space Science, College of Engineering Methodologies: Data Mining, HumanComputer Interaction, Predictive Modeling 
Rajiv SaranProfessor of Internal Medicine and Epidemiology,Division of Nephrology Methodologies: Database Systems and Infrastructure, Machine Learning, Predictive Modeling 
Maureen SartorAssociate Professor,Computational Medicine and Bioinformatics Methodologies: Data Quality, Data Visualization, HighDimensional Data Analysis, Pattern Analysis and Classification, Statistical Inference 
P.T. SatheLecturer,Engineering Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Data Mining, Pattern Analysis and Classification 
Ramon SatyendraAssociate Professor,Music Theory, School of Music, Theatre & Dance Methodologies: Mathematics 
Matthew SchipperResearch Professor,Radiation Oncology, Michigan Medicine Methodologies: Statistics 
Patrick SchlossFrederick 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, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Time Series Analysis 
Thomas SchmidtProfessor,Internal Medicine Methodologies: Causal Inference, Data Mining, Data Visualization, Datadriven Optimization, Dynamical Models, Machine Learning, Network Analysis, Statistics 
Sarita SchoenebeckAssociate Professor,School of Information Methodologies: HumanComputer Interaction 
Eric SchwartzAssociate Professor,Marketing, Ross School of Business Methodologies: Bayesian Methods, Machine Learning, Optimization 
Clayton ScottAssociate Professor,EECS, College of Engineering Methodologies: Machine Learning 
Nicole SeiberlichAssociate Professor, CoDirector of Michigan Institute for Imaging Technology and Translation,Radiology Methodologies: 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, HighDimensional Data Analysis, HumanComputer Interaction, Image Data Processing and Analysis, Machine Learning, Mathematics, Natural Language Processing, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Signal Processing, Sparse Data Analysis, SpatioTemporal Data Analysis, Time Series Analysis 
Lawrence SeifordProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Data Visualization, Econometrics, Mathematics, Optimization, Statistics 
Ananda SenProfessor,Biostatistics, School of Public Health Methodologies: Bayesian Methods, Statistics 
Srijan SenResearch 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 
Yulia SevryuginaSenior Associate Librarian,University of Michigan Library Methodologies: Data Mining, Data Visualization, Information Theory 
Matthew ShapiroProfessor,Economics, LSA Applications: Economics, Survey Research 
Kerby SheddenProfessor,Statistics, LSA Education and Training SubCommittee, Management Committee Methodologies: Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Visualization, Econometrics, Geographic Information Systems, HighDimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Realtime Data Processing, Statistical Inference, Statistical Modeling, Statistics 
Siqian ShenAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Dynamical Models, Graph Theory and Graphbased Methods, Mathematics, Optimization, SpatioTemporal Data Analysis 
Jie ShenProfessor,Computer and Information Science Methodologies: Artificial Intelligence, Computational Tools for Data Science, HumanComputer Interaction, Machine Learning, Missing Data and Imputation, Pattern Analysis and Classification, Realtime Data Processing, Signal Processing, Time Series Analysis 
Cong ShiAssociate Professor,Industrial and Operations Engineering Methodologies: Bayesian Methods, Causal Inference, HumanComputer Interaction, Machine Learning, Optimization 
Xu ShiAssistant Professor,Department of Biostatistics Methodologies: Artificial Intelligence, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Data Visualization, Deep Learning, Digital Data Curation, Econometrics, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Realtime Data Processing, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis 
Albert ShihProfessor,Mechanical Engineering Methodologies: Bayesian Methods, Data Collection Design, Data Quality, Machine Learning 
Yuki ShiraitoAssistant Professor,Political Science, LSA Methodologies: Bayesian Methods, Causal Inference 
Ginger ShultzAssistant Professor,Chemistry, LSA Methodologies: Natural Language Processing, Psychometrics, Statistical Modeling, Statistics, Survey Methodology 
Yajuan SiResearch Assistant Professor,Survey Research Center, Institute for Social Research Methodologies: Bayesian Methods, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Mining, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology 
Kathleen SienkoProfessor,Mechanical Engineering Methodologies: HumanComputer Interaction, Machine Learning, Pattern Analysis and Classification, Realtime Data Processing, Signal Processing, Sparse Data Analysis, Time Series Analysis 
John SilberholzAssistant Professor,Technology and Operations Methodologies: Data Mining, Machine Learning, Optimization, Predictive Modeling 
Karandeep SinghAssistant Professor,Learning Health Sciences Methodologies: Machine Learning, Predictive Modeling 
Stephen SmithAssistant Professor,Ecology and Evolutionary Biology, LSA Methodologies: Data Mining, Statistical Inference 
Peter X. K. SongProfessor,Biostatistics, School of Public Health Methodologies: Data Management, Deep Learning, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Tensor Analysis, Time Series Analysis 
Zheng SongAssistant Professor,Computer and Information Science Department, UM Dearborn Methodologies: Artificial Intelligence, Data Collection Design, Heterogeneous Data Integration, Realtime Data Processing 
Reza SoroushmehrResearch Investigator,Department of Computational Medicine and Bioinformatics Methodologies: Artificial Intelligence, Computational Tools for Data Science, Data Mining, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, Realtime Data Processing 
S. SriramProfessor,Marketing, Ross School of Business Methodologies: Causal Inference, Dynamical Models, Econometrics, Machine Learning, Predictive Modeling, Statistical Modeling 
Kevin StangeAssociate Professor,Ford School of Public Policy Methodologies: Causal Inference, Classification, Econometrics, Longitudinal Data Analysis, Machine Learning, Pattern Analysis and Classification 
Anna G. StefanopoulouProfessor,Mechanical Engineering Methodologies: Dynamical Models, Optimization, Predictive Modeling 
Joshua SteinAssociate Professor,Ophthalmology / Visual Sciences (School of Medicine) Methodologies: 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 
Stilian A. StoevAssociate Professor,Statistics, LSA Methodologies: Data Visualization, Statistical Inference, Statistics 
Quentin StoutProfessor,Computer Science and Engineering, College of Engineering Methodologies: Classification 
Martin J. StraussProfessor,EECS, College of Engineering Methodologies: Data Security and Privacy, HighDimensional Data Analysis, Machine Learning, Mathematics, Sparse Data Analysis 
Wencong SuAssistant Professor,EECS, College of Engineering Methodologies: Data Mining, Optimization 
Vijay SubramanianAssociate Professor,EECS, College of Engineering Methodologies: Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Dynamical Models, HighDimensional Data Analysis, Information Theory, Mathematics, Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics 
Yuekai SunAssistant Professor,Statistics, LSA Methodologies: HighDimensional Data Analysis, Machine Learning, Statistical Inference 
Wenhao SunAssistant Professor,Materials Science and Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, HighDimensional Data Analysis, Machine Learning, Natural Language Processing, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling 
Wenbo SunAssistant Research Scientist,University of Michigan Transportation Research Institute Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Deep Learning, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Realtime Data Processing, Signal Processing, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Tensor Analysis, Time Series Analysis 
Jing SunProfessor,Naval Architecture and Marine Engineering Department Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Security and Privacy, Deep Learning, Dynamical Models, Machine Learning, Mathematics, Optimization, Predictive Modeling, Realtime Data Processing 
Veera SundararaghavanProfessor,Aerospace Engineering Methodologies: Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Graph Theory and Graphbased Methods, Machine Learning 
Z. Tuba SuzerGurtekinAssistant Research Scientist,Assistant Research Scientist, ISRSRC Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Econometrics, HumanComputer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Psychometrics, Statistical Inference, Statistics, Survey Methodology, Time Series Analysis 
Rie SuzukiAssociate Professor,Public Health and Health Sciences Methodologies: Data Management, Data Mining, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling 
Stefan SzymanskiStephen J. Galetti Professor of Sport Management,Stephen J. Galetti Professor of Sport Management, School of Kinesiology Methodologies: Econometrics, Predictive Modeling, Statistical Inference 
Kean Ming TanAssistant Professor,Department of Statistics Methodologies: HighDimensional Data Analysis, Machine Learning, Pattern Analysis and Classification, Statistical Inference, Statistical Modeling, Statistics 
Jeremy M G TaylorProfessor,Biostatistics, School of Public Health Management Committee Methodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Dynamical Models, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics 
Stephan F. TaylorProfessor of Psychiatry,Psychiatry Methodologies: Image Data Processing and Analysis 
Stephanie TeasleyResearch Professor,School of Information Core Faculty, Management Committee Applications: Behavioral Science, Education, Learning Analytics, Social Sciences 
Misha TeplitskiyAssistant Professor,School of Information Methodologies: Econometrics, Predictive Modeling 
Jonathan TerhorstAssistant Professor,Statistics Methodologies: Bayesian Methods, Deep Learning, HighDimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics 
Ambuj TewariAssistant Professor,Statistics, LSA Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Dynamical Models, Graph Theory and Graphbased Methods, HighDimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Realtime Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis 
Andrea ThomerAssistant Professor,School of Information Methodologies: Classification, Data Collection Design, Data Management, Data Munging, Database Systems and Infrastructure, Digital Data Curation, Heterogeneous Data Integration, HumanComputer Interaction, Ontology 
Kentaro ToyamaW. K. Kellogg Professor of Community Information,School of Information Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Dynamical Models, HumanComputer Interaction, Image Data Processing and Analysis, Machine Learning, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling 
Michael TraugottResearch Professor,Center for Political Studies Applications: Political Science, Social Sciences, Survey Research 
Ivy F. TsoAssociate Professor of Psychiatry, Adjunct Associate Professor of Psychology,Psychiatry Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Graph Theory and Graphbased Methods, HighDimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Realtime Data Processing, Signal Processing, Statistical Inference, Statistical Modeling, Time Series Analysis 
Suleyman UludagAssociate Professor,Computer Science, UMFlint Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Security and Privacy, Graph Theory and Graphbased Methods, Optimization 
Thomas ValleyAssistance Professor of Internal Medicine,Medical School  Internal Medicine Methodologies: Causal Inference, Econometrics 
Mark P Van OyenProfessor,Industrial and Operations Engineering Methodologies: Bayesian Methods, Causal Inference, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling, Statistical Inference 
Matthew VanEseltineResearch Investigator,Survey Research Center, Institute for Social Research Methodologies: Causal Inference, Computational Tools for Data Science, Data Management, Data Munging, Data Quality, Data Security and Privacy, Data Visualization, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Inference, Statistical Modeling 
Anthony VankyAssistant Professor of Urban and Regional Planning,Taubman College of Architecture and Urban Planning Methodologies: Data Collection Design, Data Visualization, Geographic Information Systems, HumanComputer Interaction, Machine Learning, SpatioTemporal Data Analysis 
Shravan VeerapaneniAssociate Professor,Mathematics, LSA Methodologies: Data Visualization, Machine Learning, Mathematics, Tensor Analysis 
V. G. Vinod VydiswaranAssistant Professor,Learning Health Sciences, Michigan Medicine Methodologies: Data Mining, Heterogeneous Data Integration, Machine Learning, Natural Language Processing 
Akbar WaljeeAssociate Professor,Internal Medicine Methodologies: Artificial Intelligence, Causal Inference, Deep Learning, HighDimensional Data Analysis, HumanComputer Interaction, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Time Series Analysis 
Nils G. WalterFrancis S. Collins Collegiate Professor,Chemistry, LSA Methodologies: Bayesian Methods, Data Management, Data Visualization, Network Analysis, Pattern Analysis and Classification, Time Series Analysis 
Lu WangAssistant Professor,Computer Science and Engineering, EECS Methodologies: Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Machine Learning, Natural Language Processing 
Wenche WangAssistant Professor,School of Kinesiology Methodologies: Econometrics 
Wentao WangAssistant Research Scientist,Department of Civil and Environmental Engineering, Postdoctoral Research Fellow, University of Michigan 2017.012019.12 Methodologies: Artificial Intelligence, Data Collection Design, Data Mining, Data Visualization, Deep Learning, Machine Learning, Realtime Data Processing, Signal Processing, Sparse Data Analysis 
Xu WangAssistant Professor,Computer Science and Engineering Methodologies: Computational Tools for Data Science, Data Mining, HumanComputer Interaction 
Yixin WangAssistant Professor,Statistics, LSA Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Machine Learning, Statistics 
Naisyin WangProfessor,Statistics, LSA Methodologies: Dynamical Models, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Statistics 
Kevin WardProfessor,Emergency Medicine, Michigan Medicine Management Committee Methodologies: Realtime Data Processing, Signal Processing 
Lu WeiAssistant Professor,Electrical and Computer Engineering, College of Engineering and Computer Science Methodologies: Information Theory, Mathematics 
Joshua WelchAssistant Professor,Computational Medicine and Bioinformatics Methodologies: Artificial Intelligence, Deep Learning, Graph Theory and Graphbased Methods, Heterogeneous Data Integration, HighDimensional Data Analysis, Machine Learning, Sparse Data Analysis 
Xiaoquan William WenProfessor,Department of Biostatistics Management Committee Methodologies: Bayesian Methods, Causal Inference, HighDimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling 
Brady WestAssociate 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 
Jenna WiensAssociate 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, SpatioTemporal Data Analysis 
Terrence WongAssistant Professor,Department of Internal Medicine; Division of Hematology and Oncology Methodologies: Longitudinal Data Analysis, Statistics 
Zhenke WuAssistant Professor,Biostatistics, School of Public Health Core Faculty Methodologies: Bayesian Methods, Computational Tools for Data Science, Heterogeneous Data Integration, Statistical Inference, Statistical Modeling 
Xiaoling XiangAssistant Professor,School of Social Work Methodologies: Statistics, Survey Methodology 
Gongjun XuAssistant Professor,Statistics Methodologies: Psychometrics, Statistical Inference, Statistical Modeling, Statistics 
Hongwei XuResearch Assistant Professor,Survey Research Center, Institute for Social Research Methodologies: Bayesian Methods, Causal Inference, Data Collection Design, Geographic Information Systems, Longitudinal Data Analysis, SpatioTemporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics 
Ming XuProfessor,School for Environment and Sustainability Methodologies: Data Mining, Data Visualization, Graph Theory and Graphbased Methods, Missing Data and Imputation, Network Analysis, Optimization 
Olga YakushevaAssociate Professor of Nursing and Public Health,Nursing Methodologies: Artificial Intelligence, Causal Inference, Data Visualization, Predictive Modeling 
Jieping YeAssociate Professor,Computational Medicine and Bioinformatics, Michigan Medicine Methodologies: Artificial Intelligence, Data Mining, HighDimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, SpatioTemporal Data Analysis, Tensor Analysis, Time Series Analysis 
Lei YingProfessor,Methodologies: Data Collection Design, Data Mining, Graph Theory and Graphbased Methods, Machine Learning, Missing Data and Imputation, Number Theory, Optimization, Time Series Analysis 
Amy M. YorkeAssistant Professor,Physical Therapy Methodologies: Survey Methodology 
Jon ZelnerAssistant Professor,Epidemiology, School of Public Health Methodologies: Data Visualization, Dynamical Models, Network Analysis 
Dominika ZgidAssociate Professor,Chemistry Department Methodologies: Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Mining, Machine Learning, Mathematics, Predictive Modeling, Tensor Analysis 
Xingyu ZhangResearch Assistant Professor,School of Nursing Methodologies: Data Mining, Machine Learning, Pattern Analysis and Classification, Statistical Modeling, Time Series Analysis 
Jun ZhangProfessor,Mathematics, Statistics, and Psychology, LSA Core Faculty Methodologies: Machine Learning, Mathematics 
Lili ZhaoResearch 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 
Xiang ZhouJohn G Searle Assistant Professor,Biostatistics, School of Public Health Methodologies: Bayesian Methods, Causal Inference, Classification, Data Quality, Deep Learning, Heterogeneous Data Integration, HighDimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling 
Feng ZhouAssistant Professor,Industrial and Manufacturing Systems Engineering, CECS Methodologies: HumanComputer Interaction, Machine Learning, Natural Language Processing 
Ji ZhuProfessor,Statistics, LSA Methodologies: HighDimensional Data Analysis, Machine Learning, Network Analysis, Optimization, Statistical Modeling 
Qiang ZhuProfessor,Computer and Information Science Methodologies: Data Management, Data Mining, Data Security and Privacy, Heterogeneous Data Integration, Optimization, SpatioTemporal Data Analysis 
Yuri ZhukovAssociate Professor,Political Science Methodologies: Causal Inference, Data Collection Design, Data Management, Data Visualization, Geographic Information Systems, Natural Language Processing, Network Analysis, SpatioTemporal Data Analysis 
Robert ZiffProfessor,Chemical Engineering Methodologies: Graph Theory and Graphbased Methods, Mathematics, Number Theory, Statistical Modeling 
Paul ZimmermanAssistant Professor,Chemistry, LSA Methodologies: Machine Learning 
Sebastian ZöllnerAssociate Professor,Biostatistics, School of Public Health Methodologies: Statistics 