![]() 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 |
![]() 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: 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 |
![]() Omar Jamil AhmedAssistant Professor,Psychology Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Visualization, Information Theory, Mathematics, Real-time Data Processing, Signal Processing, 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 |
![]() 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, 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 |
![]() 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, Real-time 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 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 |
![]() 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 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 |
![]() 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: Algorithms, 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, Human-Computer 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, 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 |
![]() 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, 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 |
![]() Mithun ChakrabortyAssistant Research Scientist,Computer Science and Engineering, Electrical Engineering and Computer Science Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Decision Science, Econometrics, Machine Learning, Statistical Inference, Statistical Modeling, Statistics |
![]() 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 |
![]() 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, Spatio-Temporal Data Analysis |
![]() Mark Steven CohenProfessor of Surgery, Pharmacology, and Biomedical Engineering, Director of the Center for Surgical Innovation,Surgery Methodologies: Artificial Intelligence, Deep Learning, Human-Computer Interaction, Machine Learning |
![]() 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 |
![]() Lia CorralesAssistant Professor,Astronomy Methodologies: Bayesian Methods, Computational Tools for Data Science, Data Visualization, High-Dimensional 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 |
![]() 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 |
![]() Matias del CampoAssociate Professor,Taubman College of Architecture and Urban Planning Methodologies: Algorithms, Artificial Intelligence, Classification, Data Collection Design, Data Mining, Data Quality, Database Systems and Infrastructure, Deep Learning, Graph Theory and Graph-based 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: 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 |
![]() Allison Earl,Psychology Methodologies: Computational Tools for Data Science, Longitudinal Data Analysis |
![]() 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 |
![]() Bogdan I. EpureanuProfessor,Department of Mechanical Engineering Methodologies: Algorithms, Artificial Intelligence, Classification, Computational Tools for Data Science, Data Visualization, Deep Learning, Human-Computer Interaction, Machine Learning, Mathematics, Predictive Modeling, Real-time Data Processing, Signal Processing, Spatio-Temporal Data Analysis, Statistical Modeling |
![]() 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 |
![]() Tayo FabusuyiAssistant Research Scientist,Transportation Research Institute Methodologies: Algorithms, Artificial Intelligence, Data Mining, Decision Science, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis |
![]() 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 |
![]() 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: 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 |
![]() Anne FernandezAssistant Professor,Psychiatry Methodologies: Data Collection Design, Longitudinal Data Analysis, Machine Learning, Natural Language Processing |
![]() Jeff FesslerProfessor,EECS, College of Engineering
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![]() Benjamin FishAssistant Professor,Computer Science and Engineering, Electrical Engineering and Computer Science Methodologies: Algorithms, 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 Franco-VivancoAssistant 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, 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 |
![]() Ayumi Fujisaki-ManomeAssistant Research Scientist,CIGLR in SEAS Methodologies: Deep Learning, Dynamical Models, Geographic Information Systems, Machine Learning |
![]() 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 |
![]() Lana GarmireAssociate Professor,Computational medicine and Bioinformatics Methodologies: Artificial Intelligence, Classification, Computational Tools for Data Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis |
![]() 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 |
![]() Hamid GhanbariAssistant Professor,Internal Medicine Methodologies: Algorithms, Artificial Intelligence, Deep Learning, Digital Data Curation, Machine Learning |
![]() Eric GilbertJohn Derby Evans Associate Professor,School of Information Methodologies: Artificial Intelligence, Causal Inference, Human-Computer 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 |
![]() 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 |
![]() 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: Algorithms, Artificial Intelligence, Bayesian Methods, Decision Science, Dynamical Models, High-Dimensional Data Analysis, Mathematics, Optimization, Statistical Inference, Tensor Analysis |
![]() Ben GreenAssistant Professor,Ford School of Public Policy, Methodologies: Algorithms, Data Mining, Human-Computer Interaction, Machine Learning, Network Analysis |
![]() Andrew Grogan-KaylorAssociate 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, Spatio-Temporal 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: Algorithms, Bayesian Methods, High-Dimensional 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, High-Dimensional Data Analysis, Human-Computer 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, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Time Series 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 |
![]() 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 |
![]() 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, 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 |
![]() Nicholas HendersonAssistant Professor,Biostatistics Methodologies: Bayesian Methods, Causal Inference, Heterogeneous Data Integration, High-Dimensional 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: 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 |
![]() 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: 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 |
![]() Xianglei HuangProfessor,Department of Climate and Space Sciences and Engineering Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Data Mining, Data Visualization, Deep Learning, High-Dimensional 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, 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 |
![]() 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 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 |
![]() Meha JainAssistant Professor,School for Environment and Sustainability Methodologies: Causal Inference, Classification, Decision Science, Deep Learning, Econometrics, Geographic Information Systems, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
![]() Stefanus JasinAssociate Professor of Technology and Operations,Ross School of Business Methodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Decision Science, Dynamical Models, Econometrics, Graph Theory and Graph-based Methods, Human-Computer 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, 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 |
![]() 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, Spatio-Temporal 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: 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 |
![]() 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, 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 |
![]() Brendan KochunasAssistant Professor,Nuclear Engineering and Radiological Sciences Methodologies: Algorithms, Bayesian Methods, Decision Science, Deep Learning, Dynamical Models, Machine Learning, Predictive Modeling, Real-time 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, Spatio-Temporal 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 Graph-based 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 |
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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 |
![]() Sindhu KuttyLecturer III,Computer Science and Engineering Methodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Collection Design, Human-Computer Interaction, Machine Learning |
![]() 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 |
![]() 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: 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 |
![]() 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 |
![]() 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,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 |
![]() Gen LiAssistant Professor,Department of Biostatistics Methodologies: Algorithms, Computational Tools for Data Science, Data Mining, Heterogeneous Data Integration, High-Dimensional 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, High-Dimensional Data Analysis, Missing Data and Imputation |
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![]() Yi LiProfessor,Biostatistics, School of Public Health Methodologies: High-Dimensional 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, Human-Computer 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, 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 |
![]() 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: Algorithms, 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, High-Dimensional Data Analysis, Image Data Processing and Analysis |
![]() 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 |
![]() Briana MezukDirector, Center for Social Epidemiology and Population Health,Epidemiology Methodologies: Longitudinal Data Analysis, Natural Language Processing, Statistical Inference, Statistical Modeling, Survey Methodology |
![]() Eric MichielssenAssociate Dean for Research,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 |
![]() A.J. MillionResearch Investigator,Inter-university 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, Human-Computer 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, 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 |
![]() 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. 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 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 |
![]() Elle O’BrienLecturer III; Research Investigator,School of Information Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Management, Data Mining, Data Quality, Database Systems and Infrastructure, Decision Science, 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, Spatio-Temporal Data 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 |
![]() 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, Decision Science, 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, 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
|
![]() 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: Algorithms, 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 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 |
![]() J.J. PrescottHenry King Ransom Professor of Law,Law School Methodologies: Algorithms, Causal Inference, Classification, Data Collection Design, Data Visualization, Decision Science, Econometrics, Geographic Information Systems, High-Dimensional 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: 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 |
![]() Qing QuAssistant Professor,EECS Methodologies: Artificial Intelligence, Computational Tools for Data Science, Deep Learning, High-Dimensional 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 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 |
![]() 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, Real-time Data Processing, Signal Processing, Time Series Analysis |
![]() Michael RubyanClinical Assistant Professor,Health Management. of Policy Methodologies: Decision Science, Digital Data Curation, Human-Computer 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, 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 |
![]() 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, 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 |
![]() Thomas SchmidtProfessor,Internal Medicine Methodologies: Causal Inference, Data Mining, Data Visualization, Data-driven Optimization, Dynamical Models, Machine Learning, Network Analysis, Statistics |
![]() 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 |
![]() Matthew ShapiroProfessor,Economics, LSA Applications: Economics, Survey Research |
![]() 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 |
![]() Cong ShiAssociate Professor,Industrial and Operations Engineering Methodologies: Algorithms, Bayesian Methods, Causal Inference, Decision Science, Human-Computer Interaction, Machine Learning, Optimization |
![]() 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 |
![]() Albert ShihProfessor,Mechanical Engineering Methodologies: Bayesian Methods, Data Collection Design, Data Quality, Decision Science, 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: 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 |
![]() Zheng SongAssistant Professor,Computer and Information Science Department, UM Dearborn Methodologies: Artificial Intelligence, Data Collection Design, Heterogeneous Data Integration, Real-time Data Processing |
![]() 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 |
![]() 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: 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 |
![]() Wenbo SunAssistant Research Scientist,University of Michigan Transportation Research Institute Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Deep Learning, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Real-time Data Processing, Signal Processing, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Tensor Analysis, Time Series Analysis |
![]() 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 |
![]() Ivy F. TsoAssociate Professor of Psychiatry, Adjunct Associate Professor of Psychology,Psychiatry Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Decision Science, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Real-time Data Processing, Signal Processing, Statistical Inference, Statistical Modeling, Time Series Analysis |
![]() 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 |
![]() 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, 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 |
![]() 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 2017.01-2019.12 Methodologies: Algorithms, Artificial Intelligence, Data Collection Design, Data Mining, Data Visualization, Deep Learning, Machine Learning, Real-time Data Processing, Signal Processing, Sparse Data Analysis |
![]() Xu WangAssistant Professor,Computer Science and Engineering Methodologies: Computational Tools for Data Science, Data Mining, Human-Computer Interaction |
![]() Yixin WangLSA Collegiate Fellow,LSA Collegiate Fellow; Assistant Professor of Statistics (as of Fall 2022) Methodologies: Artificial Intelligence, Bayesian Methods, Causal Inference, Machine Learning, Statistics |
![]() 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 |
![]() 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, 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 ZöllnerAssociate Professor,Biostatistics, School of Public Health Methodologies: Statistics |