![]() Keith Aaronson, MDMD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine,Michigan Medicine Cardiology Clinic | Cardiovascular Center Methodologies: Machine Learning, Predictive Modeling, Statistical Modeling |
![]() Steven AbneyAssociate Professor,Linguistics, LSA Methodologies: Artificial Intelligence, Machine Learning, Natural Language Processing |
![]() 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: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Decision Science, Econometrics, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing, Network Analysis, Optimization, Predictive Modeling, Signal Processing, Statistics, Time Series Analysis |
![]() 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: Algorithms, Data Collection Design, Data Management, Data Mining, Data Visualization, High-Dimensional Data Analysis, Statistics, Time Series Analysis |
![]() Hyun-soo 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, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal 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 |
![]() 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, Decision Science, Longitudinal Data Analysis |
![]() Karen AlofsAssistant Professor,School for Environment and Sustainability Methodologies: Data Collection Design, Data Management, Heterogeneous Data Integration, Longitudinal Data Analysis, Spatio-Temporal Data Analysis, Time Series Analysis |
![]() George AlterResearch Professor,Institute for Social Research Challenge Sub-Committee 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 |
![]() Yves AtchadeAssociate Professor,Statistics, LSA Methodologies: High-Dimensional Data Analysis, Optimization, Statistical Inference |
![]() 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 |
![]() Veera BaladandayuthapaniProfessor,Biostatistics Methodologies: Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Data Visualization, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Network Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Laura BalzanoAssociate Professor,EECS, College of Engineering Methodologies: Algorithms, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference |
![]() 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, Human-Computer Interaction |
![]() Shan BaoAssociate Professor,University of Michigan-Dearborn Methodologies: Data Collection Design, Data Mining, Data Visualization, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics |
![]() Satinder Singh BavejaProfessor,EECS, College of Engineering Methodologies: Artificial Intelligence, Decision Science, Deep Learning, Human-Computer 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 Graph-based Methods, Longitudinal Data Analysis, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Albert S. BerahasAssistant Professor,Industrial & Operations Engineering Methodologies: Algorithms, 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, Spatio-Temporal 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: Algorithms, 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, Human-Computer Interaction, Machine Learning, Predictive Modeling |
![]() Elizabeth BruchAssociate Professor,Sociology, LSA Methodologies: Dynamical Models |
![]() 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, Human-Computer Interaction |
![]() Eunshin ByonAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis |
![]() Michael CafarellaAssociate Professor,EECS, College of Engineering Methodologies: Data Management, Data Mining, Data Quality, Database Systems and Infrastructure |
![]() Jessica K. CampAssistant Professor,Health and Health Services Methodologies: Data Management, Data Mining, Econometrics, Statistical Inference, Statistics, Time Series Analysis |
![]() Neil CarterAssistant Professor,School for Environment and Sustainability Methodologies: Causal Inference, Decision Science, Dynamical Models, Geographic Information Systems, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling |
![]() Tim CernakAssistant Professor,Medicinal Chemistry, College of Pharmacy Methodologies: Algorithms, 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, Decision Science, Deep Learning, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Pattern Analysis and Classification, Predictive Modeling, Statistical Modeling |
![]() Charu ChandraProfessor,Decision Sciences and Supply Chain Management, College of Business Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Decision Science, Information Theory, Network Analysis |
![]() Sriram ChandrasekaranAssistant Professor,Biomedical Engineering, College of Engineering Methodologies: Algorithms, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Statistical Inference |
![]() Xiuli ChaoProfessor,Industrial & Operations Engineering Methodologies: Data-driven 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: Algorithms, Statistical Inference |
![]() Lei ChenAssistant Professor,Department of Mechanical Engineering Methodologies: Bayesian Methods, Deep Learning, Machine Learning, Optimization |
![]() Yi-Su ChenAssistant Professor,Operations Management, Ross School of Business Methodologies: Longitudinal Data Analysis, Network Analysis, Statistics |
![]() Amy CohnProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Optimization |
![]() Kevyn Collins-ThompsonAssociate 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, Human-Computer Interaction, Natural Language Processing, Statistical Inference |
![]() Jason CorsoAssociate Professor,EECS, College of Engineering Methodologies: Image Data Processing and Analysis, Sparse Data Analysis |
![]() 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 |
![]() William CurrieProfessor,School for Environment and Sustainability Methodologies: Algorithms, Causal Inference, Dynamical Models, Statistical Modeling |
![]() Mark S. DaskinProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Network Analysis, Optimization |
![]() Gerald DavisProfessor,Management, Ross School of Business Methodologies: Network Analysis |
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![]() Pamela Davis-KeanProfessor,Psychology, LSA Associate Director Methodologies: Data Collection Design, Data Management, Longitudinal Data Analysis, Missing Data and Imputation, Psychometrics, Statistical Inference, Statistical Modeling |
![]() 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 DentonAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Decision Science, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling |
![]() Harm DerksenProfessor,Department of Mathematics Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Digital Data Curation, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistics, Tensor Analysis, Time Series Analysis |
![]() 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 Sub-Committee Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Management, Data Mining, Data Munging, Data Visualization, Decision Science, Deep Learning, Machine Learning, Mathematics, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Signal Processing, Statistical Inference, Statistical Modeling, Statistics |
![]() Kevin DombkowskiResearch Professor,Pediatrics, Michigan Medicine Methodologies: Data Collection Design, Data Management, Data Mining, Real-time Data Processing |
![]() Nicholas DouvilleLecturer,Anesthesiology Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Management, Deep Learning, Machine Learning, Missing Data and Imputation, Natural Language Processing, Real-time Data Processing, Statistical Modeling |
![]() Karthik DuraisamyAssociate Professor,Aerospace Engineering, College of Engineering Methodologies: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference |
![]() Ron EglashProfessor,School of Information Methodologies: Artificial Intelligence, Human-Computer Interaction |
![]() Joseph EisenbergProfessor and Chair of Epidemiology,Epidemiology Methodologies: Causal Inference, Dynamical Models, Geographic Information Systems |
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![]() Issam El NaqaAssociate Professor,Radiation Oncology, Michigan Medicine Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Mining, Data Visualization, Decision Science, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Information Theory, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Statistical Modeling |
![]() 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 |
![]() Barbara Jane Ericson,School of Information Methodologies: Artificial Intelligence, Computational Tools for Data Science, Human-Computer 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 Graph-based Methods, Longitudinal Data Analysis, Machine Learning |
![]() August (Gus) EvrardProfessor,Physics and Astronomy, LSA Methodologies: Computational Tools for Data Science |
![]() Xudong (Sherman) FanProfessor,Biomedical Engineering Methodologies: Algorithms, 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 |
![]() Salar FattahiAssistant Professor,Industrial and Operations Engineering Methodologies: Algorithms, Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Machine Learning, Optimization, Sparse Data Analysis, Spatio-Temporal Data Analysis |
![]() Fred FeinbergProfessor,Marketing, Ross School of Business Methodologies: Bayesian Methods, Decision Science, Dynamical Models, Machine Learning, Statistical Modeling |
![]() Fred FengAssistant Professor,Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn Methodologies: Causal Inference, Data Visualization, Human-Computer Interaction, Machine Learning, Predictive Modeling, Statistical Inference |
![]() Jeff FesslerProfessor,EECS, College of Engineering
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![]() 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 |
![]() 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 |
![]() Robert J. Franzese Jr.Professor and Associate Chair,Political Science, LSA Methodologies: Dynamical Models, Econometrics, Network Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Gary L. FreedProfessor of Pediatrics,Pediatrics Methodologies: Causal Inference, Data Management, Data Mining, Data Quality, Data Visualization, Econometrics, Geographic Information Systems, Longitudinal Data Analysis |
![]() Johann Gagnon-BartschAssistant Professor,Statistics, LSA Methodologies: Causal Inference, Classification, Heterogeneous Data Integration, High-Dimensional 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 |
![]() William J. GehringArthur F. Thurnau Professor of Psychology,Psychology Methodologies: Artificial Intelligence, Causal Inference, Decision Science, Machine Learning, Natural Language Processing, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Signal Processing |
![]() Anne Ruggles GereArthur Thurnau Professor of English and Gertrude Buck Collegiate Professor of Education,Department of English Methodologies: Longitudinal Data Analysis, Natural Language Processing |
![]() 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 |
![]() Christopher E. GilliesAssistant Research Scientist,Emergency Medicine Methodologies: Artificial Intelligence, Bayesian Methods, Data Mining, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Natural Language Processing, Network Analysis, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Statistical Inference, Statistical Modeling, Statistics |
![]() Pamela GiustinelliAssistant Professor,Survey Research Center for Social Research Methodologies: Decision Science |
![]() 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 Sub-Committee Methodologies: Data Visualization, Statistical Inference |
![]() Alex GorodetskyAssistant Professor,Department of Aerospace Engineering Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Decision Science, Dynamical Models, High-Dimensional Data Analysis, Mathematics, Optimization, Statistical Inference, Tensor Analysis |
![]() Andrew Grogan-KaylorAssociate Professor,School of Social Work Methodologies: Bayesian Methods, Data Visualization, Longitudinal Data Analysis, Natural Language Processing |
![]() 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: Algorithms, Bayesian Methods, High-Dimensional Data Analysis, Information Theory, Mathematics, Optimization, Tensor Analysis |
![]() Robert HampshireAssociate Professor of Public Policy,Gerald R. Ford School of Public Policy Methodologies: Decision Science, Dynamical Models, Geographic Information Systems, Heterogeneous Data Integration, Predictive Modeling, Spatio-Temporal Data Analysis |
![]() David HanauerClinical Associate Professor,Learning Health Sciences Methodologies: Computational Tools for Data Science, Data Mining, Natural Language Processing |
![]() Samuel K HandelmanResearch Assistant Professor,Internal Medicine, Gastroenterology, Michigan Medicine Methodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Edward G. HappExecutive Fellow, Research Investigator,School of Information Applications: Management Science |
![]() Derek HarmonAssistant Professor,Strategy, Ross School of Business Methodologies: Algorithms, Artificial Intelligence, Natural Language Processing |
![]() Marcelline HarrisAssociate Professor,Systems, Populations and Leadership, School of Nursing Methodologies: Predictive Modeling |
![]() Xuming HeProfessor,Statistics, LSA Methodologies: Bayesian Methods, High-Dimensional 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 Sub-Committee 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 |
![]() 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: Algorithms, 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 |
![]() Zhen HuAssistant Professor,Department of Industrial and Manufacturing Systems Engineering Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling, Time Series Analysis |
![]() Jingwen HuAssociate Research Scientist,Transportation Research Institute Methodologies: Computational Tools for Data Science |
![]() Xun HuanAssistant Professor,Mechanical Engineering Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Sparse Data Analysis, Statistical Inference |
![]() Muzammil M. HussainAssistant Professor,Communication Studies, LSA Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, Human-Computer 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 |
![]() Abigail JacobsAssistant Professor,Information, School of Information Methodologies: Bayesian Methods, Causal Inference, Graph Theory and Graph-based Methods, Machine Learning, Network Analysis, Statistical Inference |
![]() H. V. JagadishProfessor,EECS, College of Engineering Director Methodologies: Data Management, Data Security and Privacy, Database Systems and Infrastructure, Heterogeneous Data Integration |
![]() Judy JinProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Causal Inference, Decision Science, Heterogeneous Data Integration, Machine Learning, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Statistics, Tensor Analysis |
![]() Timothy D. JohnsonProfessor,Biostatistics, School of Public Health Methodologies: Bayesian Methods, Classification, Dynamical Models, High-Dimensional Data Analysis, Image Data Processing and Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Vicki Johnson-LawrenceAssistant Professor,Public Health and Health Sciences Applications: Epidemiology, Human Development, Mental Health |
![]() Matthew Johnson-RobersonAssistant Professor,EECS, College of Engineering Methodologies: Data Visualization, Heterogeneous Data Integration, Machine Learning |
![]() David JurgensAssistant Professor,School of Information Methodologies: Data Mining, Deep Learning, Machine Learning, Natural Language Processing, Spatio-Temporal Data Analysis |
![]() 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: Algorithms, Computational Tools for Data Science, Data Visualization, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistics |
![]() Jian KangAssociate Professor,Biostatistics Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis |
![]() Steven J. KatzProfessor,Internal Medicine, School of Public Health Methodologies: Longitudinal Data Analysis, Natural Language Processing, Survey Methodology |
![]() Matthew KayAssistant Professor,School of Information Methodologies: Bayesian Methods, Data Visualization, Decision Science, Human-Computer Interaction, Statistical Inference, Statistical Modeling, Statistics |
![]() Evan KellerProfessor of Urology and Pathology,Urology Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Heterogeneous Data Integration, High-Dimensional 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: Algorithms, Causal Inference, Computational Tools for Data Science, Data Management, Data Munging, Data Security and Privacy, Data Visualization, Database Systems and Infrastructure, Deep Learning, Digital Data Curation, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Predictive Modeling, Signal Processing, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() 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 Graph-based Methods, Heterogeneous Data Integration, Network Analysis, Optimization |
![]() Dr. 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 |
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![]() 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: Algorithms, Artificial Intelligence, Classification, Deep Learning, Machine Learning, Real-time Data Processing, Spatio-Temporal Data Analysis |
![]() Jaerock KwonAssistant Professor,University of Michigan-Dearborn Methodologies: Artificial Intelligence, Deep Learning, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Pattern Analysis and Classification |
![]() Jeffrey C. LagariasProfessor,Mathematics, LSA Methodologies: Algorithms, Information Theory, Mathematics, Network Analysis, Number Theory, Optimization |
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![]() Ronald Gary LarsonAH White Distinguished University Professor,Chemical Engineering Methodologies: Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods |
![]() Walter S. LaseckiAssistant Professor,Computer Science and Engineering, College of Engineering Methodologies: Artificial Intelligence, Decision Science, Human-Computer Interaction, Machine Learning, Natural Language Processing |
![]() Ho-Joon LeeResearch Investigator,Molecular and Integrative Physiology, Michigan Medicine Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Network Analysis, Number Theory, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis |
![]() Jon LeeG. Lawton and Louise G. Johnson Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Graph Theory and Graph-based Methods, Information Theory, Mathematics, Optimization, Spatio-Temporal Data Analysis |
![]() 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: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Mining, Decision Science, Dynamical Models, Econometrics, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Margaret C. LevensteinDirector,Inter-university Consortium for Political and Social Research Management Committee Methodologies: Data Security and Privacy |
![]() Elizaveta LevinaVijay Nair Collegiate Professor,Statistics, LSA Methodologies: Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Sparse Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Lisa LevinsonLecturer III,Linguistics Methodologies: Data Collection Design, Data Management, Data Mining, Data Visualization, Information Theory, Natural Language Processing, Psychometrics, Statistics |
![]() 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, High-Dimensional Data Analysis, Missing Data and Imputation |
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![]() Yi LiProfessor,Biostatistics, School of Public Health Methodologies: High-Dimensional Data Analysis |
![]() Dr. Donald S. LikoskyProfessor of Cardiac Surgery,Methodologies: Artificial Intelligence, Data Collection Design, Data Management, Database Systems and Infrastructure |
![]() 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, Decision Science, Machine Learning, Network Analysis, Optimization, Statistical Modeling |
![]() Zhongming LiuAssociate Professor,Biomedical Engineering Methodologies: Algorithms, Artificial Intelligence, Deep Learning, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Signal Processing, Spatio-Temporal Data Analysis, Statistical Inference |
![]() Xuefeng (Chris) LiuAssociate Professor,Nursing, School of Nursing Methodologies: Bayesian Methods, Causal Inference, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Zhixin (Jason) LiuAssociate Professor,College of Business, University of Michigan-Dearborn Methodologies: Algorithms, Decision Science, Optimization, Statistics, Time Series Analysis |
![]() Jie LiuAssistant Professor,Computational Medicine and Bioinformatics Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference |
![]() Henry LiuProfessor,Civil and Environmental Engineering, College of Engineering Methodologies: Artificial Intelligence, Data Mining, Machine Learning |
![]() Hernán López-FernándezAssociate 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, Spatio-Temporal Data Analysis, Statistical Modeling |
![]() Vahid LotfiSenior Vice Provost and Professor,Management Sciences, Flint School of Management Methodologies: Classification, Data Mining, Optimization, Predictive Modeling |
![]() Jin LuAssistant Professor,Department of Computer and Information Science, College of Engineering and Computer Science Methodologies: Algorithms, Data Mining, Deep Learning, Heterogeneous Data Integration, Machine Learning, Missing Data and Imputation, Optimization |
![]() Jerome P. LynchProfessor, Donald Malloure Department Chair,Civil and Environmental Engineering, College of Engineering Methodologies: Algorithms, Bayesian Methods, Classification, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Dynamical Models, Image Data Processing and Analysis, Machine Learning, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Spatio-Temporal Data Analysis, Time Series Analysis |
![]() 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, Spatio-Temporal Data Analysis |
![]() Murali ManiProfessor,Computer Science Methodologies: Algorithms, 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: Algorithms, 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: Algorithms, Classification, Computational Tools for Data Science, Data Mining, Decision Science, Graph Theory and Graph-based Methods, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing |
![]() 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: Algorithms, Bayesian Methods, Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning |
![]() Timothy McKayProfessor,Physics, LSA Challenge Sub-Committee Methodologies: Algorithms, Causal Inference, Classification, Data Collection Design, Data Munging, Data Visualization, Decision Science, Human-Computer Interaction, Missing Data and Imputation, Natural Language Processing, Statistical Inference |
![]() 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 Michigan-Dearborn Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Data Management, Data Quality, Data Security and Privacy, Data Visualization, Database Systems and Infrastructure, Heterogeneous Data Integration, Missing Data and Imputation, Optimization, Statistical Inference, Statistical Modeling, Statistics |
![]() Eric MichielssenProfessor,EECS, College of Engineering Methodologies: Algorithms, Mathematics |
![]() Rada MihalceaProfessor,EECS, College of Engineering Core Faculty, Management Committee Methodologies: Artificial Intelligence, Computational Tools for Data Science, Graph Theory and Graph-based Methods, Human-Computer Interaction, Machine Learning, Natural Language Processing |
![]() 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 |
![]() 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, Decision Science, Deep Learning, Econometrics, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Ontology, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Survey Methodology |
![]() 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, Spatio-Temporal 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, Spatio-Temporal 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: Algorithms, Causal Inference, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistics, Time Series Analysis |
![]() Bhramar MukherjeeProfessor,Biostatistics, School of Public Health Core Faculty, Faculty Recruitment and Engagement Sub-Committee Methodologies: Bayesian Methods, Missing Data and Imputation, Statistics |
![]() Somangshu MukherjiAssistant Professor,Music Theory, School of Music, Theatre & Dance Methodologies: Information Theory, Machine Learning, Natural Language Processing |
![]() 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 Sub-Committee Methodologies: High-Dimensional Data Analysis, Machine Learning, Mathematics, Signal Processing, Time Series Analysis |
![]() Viswanath NagarajanAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Optimization |
![]() Inbal (Billie) Nahum-ShaniResearch 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: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Database Systems and Infrastructure, Decision Science, Machine Learning, Natural Language Processing, Predictive Modeling |
![]() Romesh P. NalliahDirector, Pre-Doctoral Clinical Education,School of Dentistry Methodologies: Data Management, Data Mining, Data Visualization, Optimization |
![]() Satish NarayanasamyAssociate Professor,EECS, College of Engineering Faculty Recruitment and Engagement Sub-Committee Methodologies: Machine Learning |
![]() Joshua P NewellAssociate Professor,School for Environment and Sustainability Methodologies: Data Visualization, Geographic Information Systems, Machine Learning, Spatio-Temporal Data Analysis, Survey Methodology |
![]() Long NguyenProfessor,Statistics, LSA Faculty Recruitment and Engagement Sub-Committee, Management Committee Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Decision Science, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis |
![]() Quan NguyenResearch Investigator,School of Information Methodologies: Network Analysis, Time Series Analysis |
![]() Jim OmartianAssistant Professor of Accounting,Ross School of Business Methodologies: Causal Inference, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference |
![]() 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 Owen-SmithProfessor,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, Decision Science, Dynamical Models, Optimization, Real-time Data Processing |
![]() Yulin PanAssistant Professor,Department of Naval Architecture and Marine Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Decision Science, Deep Learning, Dynamical Models, High-Dimensional Data Analysis, Machine Learning, Mathematics, Number Theory, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Shobita ParthasarathyProfessor and Director, Science, Technology, and Public Policy Program,Ford School of Public Policy Methodologies: Algorithms, Artificial Intelligence, Classification, Data Mining, Data Quality, Machine Learning |
![]() Josh PasekAssistant Professor,Communication Studies, LSA Core Faculty Methodologies: Bayesian Methods, Causal Inference, Data Visualization, Human-Computer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Ashley PayneAssistant Professor,Climate and Space Sciences and Engineering Methodologies: Algorithms, Classification, Data Management, Data Visualization, Image Data Processing and Analysis, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Time Series Analysis |
![]() 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
|
![]() Amy PientaResearch Scientist,ICPSR Methodologies: Data Management, Data Quality, Data Security and Privacy, Longitudinal Data Analysis |
![]() Timothy PletcherExecutive Director,Michigan Health Information Network Methodologies: Data Mining, Dynamical Models, Image Data Processing and Analysis |
![]() Robert Ploutz-SnyderResearch 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, Decision Science, Optimization |
![]() Vitaliy PopovAssistant Professor,Medical School, Department of Learning Health Sciences Methodologies: Human-Computer 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: Algorithms, Information Theory, Statistical Inference |
![]() Atul PrakashProfessor,EECS, College of Engineering Methodologies: Classification, Data Security and Privacy, Deep Learning, Optimization |
![]() Nicholson PriceAssistant Professor of Law,School of Law Methodologies: Algorithms, 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, High-Dimensional Data Analysis, Statistical Inference, Statistical Modeling |
![]() Kevin QuinnProfessor,Political Science, LSA Faculty Recruitment and Engagement Sub-Committee Methodologies: Statistics |
![]() Jenny RadeskyAssistant Professor,University of Michigan Medical School Methodologies: Human-Computer 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, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() 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: Algorithms, Bayesian Methods, Causal Inference, Classification, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Signal Processing, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() Daniel RomeroAssociate Professor,School of Information Methodologies: Data Mining, Machine Learning |
![]() 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, Spatio-Temporal 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, Human-Computer Interaction, Predictive Modeling |
![]() Maureen SartorAssociate Professor,Computational Medicine and Bioinformatics Methodologies: Data Quality, Data Visualization, High-Dimensional Data Analysis, Pattern Analysis and Classification, Statistical Inference |
![]() P.T. SatheLecturer,Engineering Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Data Mining, Decision Science, 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, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Time Series Analysis |
![]() Santiago SchnellProfessor,Molecular and Integrative Physiology, Michigan Medicine Methodologies: Algorithms, Machine Learning, Mathematics, Statistical Modeling |
![]() Sarita SchoenebeckAssociate Professor,School of Information Methodologies: Human-Computer Interaction |
![]() Eric SchwartzAssociate Professor,Marketing, Ross School of Business Methodologies: Bayesian Methods, Decision Science, Machine Learning, Optimization |
![]() Clayton ScottAssociate Professor,EECS, College of Engineering Methodologies: Algorithms, Machine Learning |
![]() Nicole SeiberlichAssociate Professor, Co-Director of Michigan Institute for Imaging Technology and Translation,Radiology Methodologies: Algorithms, Artificial Intelligence, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Data Visualization, Deep Learning, High-Dimensional Data Analysis, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Mathematics, Natural Language Processing, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Time Series Analysis |
![]() Lawrence SeifordProfessor,Industrial and Operations Engineering, College of Engineering Methodologies: Data Visualization, Decision Science, 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 |
![]() Prasad R. ShankarClinical Assistant Professor,Radiology Methodologies: Machine Learning, Statistics, Survey Methodology |
![]() Matthew ShapiroProfessor,Economics, LSA Applications: Economics, Survey Research |
![]() Taysseer SharafAssistant Professor,Statistics, LSA Methodologies: Artificial Intelligence, Bayesian Methods, Data Visualization, Deep Learning, Machine Learning, Network Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis |
![]() Kerby SheddenProfessor,Statistics, LSA Education and Training Sub-Committee, Management Committee Methodologies: Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics |
![]() Siqian ShenAssociate Professor,Industrial and Operations Engineering, College of Engineering Methodologies: Algorithms, Decision Science, Dynamical Models, Graph Theory and Graph-based Methods, Mathematics, Optimization, Spatio-Temporal Data Analysis |
![]() Jie ShenProfessor,Computer and Information Science Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Human-Computer Interaction, Machine Learning, Missing Data and Imputation, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Time Series Analysis |
![]() Xu ShiAssistant Professor,Department of Biostatistics Methodologies: Algorithms, Artificial Intelligence, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Data Visualization, Decision Science, Deep Learning, Digital Data Curation, Econometrics, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology, Time Series Analysis |
![]() Shu-Fang ShihResearch Assistant Professor,Department of Health Management and Policy Methodologies: Causal Inference, Data Collection Design, Econometrics, Longitudinal Data Analysis, Pattern Analysis and Classification, Psychometrics, Statistical Inference, Statistical Modeling |
![]() 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: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Mining, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology |
![]() Kathleen SienkoProfessor,Mechanical Engineering Methodologies: Human-Computer Interaction, Machine Learning, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Time Series Analysis |
![]() John SilberholzAssistant Professor,Technology and Operations Methodologies: Data Mining, Machine Learning, Optimization, Predictive Modeling |
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![]() Karandeep SinghAssistant Professor,Learning Health Sciences Methodologies: Machine Learning, Predictive Modeling |
![]() Stephen SmithAssistant Professor,Ecology and Evolutionary Biology, LSA Methodologies: Algorithms, Data Mining, Statistical Inference |
![]() Peter X. K. SongProfessor,Biostatistics, School of Public Health Methodologies: Algorithms, Data Management, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Tensor Analysis, Time Series Analysis |
![]() Reza SoroushmehrResearch Investigator,Department of Computational Medicine and Bioinformatics Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Mining, Decision Science, Image Data Processing and Analysis, Machine Learning, Optimization, Predictive Modeling, Real-time Data Processing |
![]() S. SriramProfessor,Marketing, Ross School of Business Methodologies: Causal Inference, Dynamical Models, Econometrics, Machine Learning, Predictive Modeling, Statistical Modeling |
![]() Anna G. StefanopoulouProfessor,Mechanical Engineering Methodologies: Dynamical Models, Optimization, Predictive Modeling |
![]() Joshua SteinAssociate Professor,Ophthalmology / Visual Sciences (School of Medicine) Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Deep Learning, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing |
![]() Stilian A. StoevAssociate Professor,Statistics, LSA Methodologies: Data Visualization, Statistical Inference, Statistics |
![]() Quentin StoutProfessor,Computer Science and Engineering, College of Engineering Methodologies: Algorithms, Classification |
![]() Martin J. StraussProfessor,EECS, College of Engineering Methodologies: Algorithms, Data Security and Privacy, High-Dimensional 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: Algorithms, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Decision Science, Dynamical Models, High-Dimensional Data Analysis, Information Theory, Mathematics, Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics |
![]() Yuekai SunAssistant Professor,Statistics, LSA Methodologies: High-Dimensional Data Analysis, Machine Learning, Statistical Inference |
Wenhao SunAssistant Professor,Materials Science and Engineering Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Visualization, High-Dimensional Data Analysis, Machine Learning, Natural Language Processing, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling |
![]() Jing SunProfessor,Naval Architecture and Marine Engineering Department Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Data Security and Privacy, Decision Science, Deep Learning, Dynamical Models, Machine Learning, Mathematics, Optimization, Predictive Modeling, Real-time Data Processing |
![]() Veera SundararaghavanProfessor,Aerospace Engineering Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Deep Learning, Graph Theory and Graph-based Methods, Machine Learning |
![]() Z. Tuba Suzer-GurtekinAssistant Research Scientist,Assistant Research Scientist, ISR-SRC Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Decision Science, Econometrics, Human-Computer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Psychometrics, Statistical Inference, Statistics, Survey Methodology, Time Series Analysis |
![]() 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: High-Dimensional 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, High-Dimensional 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: Decision Science, Econometrics, Predictive Modeling |
![]() Jonathan TerhorstAssistant Professor,Statistics Methodologies: Algorithms, Bayesian Methods, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics |
![]() Ambuj TewariAssistant Professor,Statistics, LSA Methodologies: Algorithms, Artificial Intelligence, Classification, Computational Tools for Data Science, Dynamical Models, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Network Analysis, Optimization, Pattern Analysis and Classification, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
![]() 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, Human-Computer 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, Human-Computer 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 |
![]() Suleyman UludagAssociate Professor,Computer Science, UM-Flint Methodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Security and Privacy, Graph Theory and Graph-based Methods, Optimization |
![]() Thomas ValleyAssistance Professor of Internal Medicine,Medical School - Internal Medicine Methodologies: Causal Inference, Decision Science, Econometrics |
![]() Mark P Van OyenProfessor,Industrial and Operations Engineering Methodologies: Algorithms, Bayesian Methods, Causal Inference, Decision Science, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling, Statistical Inference |
![]() Anthony VankyAssistant Professor of Urban and Regional Planning,Taubman College of Architecture and Urban Planning Methodologies: Data Collection Design, Data Visualization, Geographic Information Systems, Human-Computer Interaction, Machine Learning, Spatio-Temporal Data Analysis |
![]() Shravan VeerapaneniAssociate Professor,Mathematics, LSA Methodologies: Algorithms, 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: Algorithms, Artificial Intelligence, Causal Inference, Deep Learning, High-Dimensional Data Analysis, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Time Series Analysis |
![]() 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 |
![]() Wenche WangAssistant Professor,School of Kinesiology Methodologies: Econometrics |
![]() Naisyin WangProfessor,Statistics, LSA Methodologies: Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Statistics |
![]() Kevin WardProfessor,Emergency Medicine, Michigan Medicine Management Committee Methodologies: Real-time 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: Algorithms, Artificial Intelligence, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Sparse Data Analysis |
![]() 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, Spatio-Temporal 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 |
![]() Shaobing XuAssistant Research Scientist,Department of Mechanical Engineering Methodologies: Algorithms, Artificial Intelligence, Classification, Data Mining, Dynamical Models, Image Data Processing and Analysis, Machine Learning, Optimization |
![]() 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, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Ming XuProfessor,School for Environment and Sustainability Methodologies: Data Mining, Data Visualization, Graph Theory and Graph-based Methods, Missing Data and Imputation, Network Analysis, Optimization |
![]() Jieping YeAssociate Professor,Computational Medicine and Bioinformatics, Michigan Medicine Methodologies: Artificial Intelligence, Data Mining, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Tensor Analysis, Time Series Analysis |
![]() Lei YingProfessor,Methodologies: Data Collection Design, Data Mining, Decision Science, Graph Theory and Graph-based Methods, Machine Learning, Missing Data and Imputation, Number Theory, Optimization, Time Series Analysis |
![]() 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: Algorithms, 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, Decision Science, 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: Algorithms, Bayesian Methods, Causal Inference, Classification, Data Quality, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling |
![]() Feng ZhouAssistant Professor,Industrial and Manufacturing Systems Engineering, CECS Methodologies: Human-Computer Interaction, Machine Learning, Natural Language Processing |
![]() Ji ZhuProfessor,Statistics, LSA Methodologies: Algorithms, High-Dimensional 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, Spatio-Temporal 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, Spatio-Temporal Data Analysis |
![]() Robert ZiffProfessor,Chemical Engineering Methodologies: Algorithms, Graph Theory and Graph-based Methods, Mathematics, Number Theory, Statistical Modeling |
![]() Paul ZimmermanAssistant Professor,Chemistry, LSA Methodologies: Machine Learning |
![]() Sebastian ZoellnerAssociate Professor,Biostatistics, School of Public Health Methodologies: Statistics |