Steven AbneyAssociate Professor, LinguisticsMethodologies: Artificial Intelligence, Machine Learning, Natural Language Processing |
Eytan AdarAssociate Professor, School of InformationMethodologies: Data Mining, Data Visualization, Image Data Processing and Analysis, Time Series Analysis |
Peter AdriaensProfessor, Civil and Environmental EngineeringMethodologies: 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, NursingCore Faculty Applications: Education, Healthcare Management and Outcomes, Learning Analytics |
Mahesh AgarwalAssociate Professor, Mathematics, StatisticsMethodologies: Data Mining, Data Munging, Machine Learning, Mathematics, Natural Language Processing, Number Theory, Predictive Modeling, Statistical Modeling, Statistics |
Arun AgrawalProfessor, School for Environment and SustainabilityApplications: Environmental Sciences, Global Development, Political Science, Social Sciences |
Hyun-soo AhnProfessor, Business>Technology and OperationsMethodologies: Dynamical Models, Optimization |
Amal AlhosbanAssistant Professor, Computer ScienceMethodologies: Data Mining |
Mark AllisonAssistant Professor, Computer ScienceApplications: Computer Science, Energy Research, Transportation Research |
Daniel AlmirallAssociate Professor, Survey Research CenterMethodologies: Causal Inference, Data Collection Design, Decision Science, Longitudinal Data Analysis |
George AlterResearch Professor, Institute for Social ResearchChallenge Sub-Committee Methodologies: Data Management, Data Security and Privacy, Digital Data Curation, Longitudinal Data Analysis, Statistical Inference |
Yves AtchadeAssociate Professor, StatisticsMethodologies: High-Dimensional Data Analysis, Optimization, Statistical Inference |
Brian D. AtheyProfessor, Computational Medicine and BioinformaticsCo-Directors, Management Committee Methodologies: Machine Learning |
Laura BalzanoAssistant Professor, Electrical Engineering and Computer ScienceEducation and Training Sub-Committee Methodologies: Algorithms, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference |
Moulinath BanerjeeProfessor, Biostatistics, StatisticsMethodologies: Statistical Inference, Statistical Modeling, Statistics |
Syagnik BanerjeeAssociate Professor, Mobile and Interactive MarketingApplications: Behavioral Science, Business Analytics, Marketing and Consumer Behavior Research, Policy Research, Social Sciences, Survey Research, Transportation Research |
Satinder Singh BavejaProfessor, Electrical Engineering and Computer ScienceMethodologies: Artificial Intelligence, Decision Science, Deep Learning, Human-Computer Interaction, Machine Learning |
Erhan BayraktarProfessor, MathematicsMethodologies: Bayesian Methods, Machine Learning, Mathematics |
Lydia BeaudrotAssistant Professor, Ecology and Evolutionary BiologyMethodologies: Statistics |
Adriene BeltzAssistant Professor, PsychologyCore Faculty Methodologies: Dynamical Models, Graph Theory and Graph-based Methods, Longitudinal Data Analysis, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
Kathleen M BergenAssociate Research Scientist, School for Environment and SustainabilityMethodologies: Data Visualization, Image Data Processing and Analysis, Spatio-Temporal Data Analysis |
Michael BoehnkeRichard G Cornell Distinguished University Professor, BiostatisticsMethodologies: Algorithms, Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics |
Christopher BrooksResearch Assistant Professor, School of InformationMethodologies: Classification, Computational Tools for Data Science, Data Management, Data Mining, Database Systems and Infrastructure, Human-Computer Interaction, Machine Learning, Predictive Modeling |
Elizabeth BruchAssociate Professor, SociologyMethodologies: Dynamical Models |
Ceren BudakAssistant Professor, School of InformationMethodologies: Data Mining, Machine Learning, Network Analysis, Statistical Modeling |
Eunshin ByonAssociate Professor, Industrial and Operations EngineeringMethodologies: Bayesian Methods, Causal Inference, Classification, Data Mining, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis |
Michael CafarellaAssistant Professor, Electrical Engineering and Computer ScienceMethodologies: Data Management, Data Mining, Data Quality, Database Systems and Infrastructure |
Jessica K. CampAssistant Professor, Health and Health ServicesMethodologies: Data Management, Data Mining, Econometrics, Statistical Inference, Statistics, Time Series Analysis |
Matias D. CattaneoProfessor, EconomicsFaculty Recruitment and Engagement Sub-Committee Methodologies: Decision Science, Econometrics, High-Dimensional Data Analysis, Statistical Inference |
Tim CernakAssistant Professor, Medicinal Chemistry, College of PharmacyMethodologies: Algorithms, Data Visualization, Optimization |
Charu ChandraProfessor, Decision Sciences and Supply Chain ManagementMethodologies: Algorithms, Artificial Intelligence, Computational Tools for Data Science, Decision Science, Information Theory, Network Analysis |
Sriram ChandrasekaranAssistant Professor, Biomedical EngineeringMethodologies: Algorithms, Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Optimization, Statistical Inference |
Jowei ChenAssociate Professor, Political ScienceMethodologies: Geographic Information Systems |
Yang ChenAssistant Professor, StatisticsCore Faculty Methodologies: Algorithms, Statistical Inference |
Yi-Su ChenAssistant Professor, Operations ManagementMethodologies: Longitudinal Data Analysis, Network Analysis, Statistics |
Amy CohnProfessor, Industrial and Operations EngineeringMethodologies: Algorithms, Optimization |
Kevyn Collins-ThompsonAssociate Professor, School of InformationMethodologies: Machine Learning, Natural Language Processing |
Jason CorsoAssociate Professor, Electrical Engineering and Computer ScienceMethodologies: Image Data Processing and Analysis, Sparse Data Analysis |
Kai S. CortinaProfessor, PsychologyMethodologies: Causal Inference, Classification, Data Visualization, Image Data Processing and Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics |
William CurrieProfessor, School for Environment and SustainabilityMethodologies: Algorithms, Causal Inference, Dynamical Models, Statistical Modeling |
Mark S. DaskinProfessor, Industrial and Operations EngineeringMethodologies: Algorithms, Network Analysis, Optimization |
Gerald DavisProfessor, Business>ManagementMethodologies: Network Analysis |
Pamela Davis-KeanProfessor, PsychologyMethodologies: Data Collection Design, Data Management, Longitudinal Data Analysis, Missing Data and Imputation, Psychometrics, Statistical Inference, Statistical Modeling |
Omid DehzangiAssistant Professor, Computer and Information ScienceMethodologies: Algorithms, Classification, Human-Computer Interaction, Image Data Processing and Analysis, Machine Learning, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing |
Jia DengAssistant Professor, Computer Science and EngineeringMethodologies: Artificial Intelligence, Deep Learning, Image Data Processing and Analysis, Machine Learning |
Brian DentonAssociate Professor, Industrial and Operations Engineering, UrologyMethodologies: Algorithms, Decision Science, Dynamical Models, Longitudinal Data Analysis, Machine Learning, Optimization, Predictive Modeling |
Ivo D. DinovProfessor, Computational Medicine and Bioinformatics, Human Behavior and Biological SciencesAssociate Director, Education and Training Sub-Committee, Management Committee Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Management, Data Mining, Data Munging, Data Visualization, Decision Science, Deep Learning, Machine Learning, Mathematics, Missing Data and Imputation, Natural Language Processing, Predictive Modeling, Signal Processing, Statistical Inference, Statistical Modeling, Statistics |
Kevin DombkowskiResearch Professor, PediatricsMethodologies: Data Collection Design, Data Management, Data Mining, Real-time Data Processing |
Karthik DuraisamyAssociate Professor, Aerospace EngineeringMethodologies: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference |
Issam El NaqaAssociate Professor, Radiation OncologyMethodologies: 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, BiostatisticsMethodologies: Bayesian Methods, Causal Inference, Data Collection Design, Data Security and Privacy, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Inference, Statistical Modeling, Statistics |
August (Gus) EvrardProfessor, Physics and AstronomyMethodologies: Computational Tools for Data Science |
Fred FeinbergProfessor, Business>Marketing, StatisticsMethodologies: Bayesian Methods, Decision Science, Dynamical Models, Machine Learning, Statistical Modeling |
Carol FlannaganAssociate Research Scientist, Transportation Research InstituteCore 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 |
Danny ForgerProfessor, MathematicsMethodologies: Computational Tools for Data Science, Mathematics |
Robert J. Franzese Jr.Professor and Associate Chair, Political ScienceMethodologies: Dynamical Models, Econometrics, Network Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
Johann Gagnon-BartschAssistant Professor, StatisticsMethodologies: Causal Inference, Classification, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics |
Andrzej T GaleckiResearch Professor, GerontologyMethodologies: Dynamical Models, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling |
Anna GilbertProfessor, MathematicsCore Faculty, Management Committee Methodologies: Algorithms, Image Data Processing and Analysis, Signal Processing |
Brenda GillespieAssociate Director, CSCARMethodologies: 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 ResearchMethodologies: Decision Science |
Bryan R. GoldsmithAssistant Professor, Chemical EngineeringMethodologies: Data Mining, Predictive Modeling |
Rich GonzalezProfessor, PsychologyEducation and Training Sub-Committee Methodologies: Data Visualization, Statistical Inference |
Andrew Grogan-KaylorAssociate Professor, School of Social WorkMethodologies: Bayesian Methods, Data Visualization, Longitudinal Data Analysis, Natural Language Processing |
Yuanfang GuanAssistant Professor, Computational Medicine and BioinformaticsMethodologies: Machine Learning, Network Analysis |
Emanuel GullAssistant Professor, PhysicsMethodologies: Algorithms, Bayesian Methods, High-Dimensional Data Analysis, Information Theory, Mathematics, Optimization, Tensor Analysis |
Samuel K HandelmanResearchÂ Assistant Professor, Internal Medicine, GastroenterologyMethodologies: Algorithms, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Network Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
Edward G. HappExecutive Fellow, Research Investigator, School of InformationApplications: Management Science |
Derek HarmonAssistant Professor, Strategy, Ross Business SchoolMethodologies: Algorithms, Artificial Intelligence, Natural Language Processing |
Marcelline HarrisAssociate Professor, Systems, Populations and LeadershipMethodologies: Predictive Modeling |
Xuming HeProfessor, StatisticsMethodologies: Bayesian Methods, High-Dimensional Data Analysis, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics |
Yongqun (Oliver) HeAssociate Professor, Microbiology and ImmunologyMethodologies: Bayesian Methods, Ontology |
Margaret HedstromProfessor, School of InformationChallenge Sub-Committee Methodologies: Data Management, Digital Data Curation |
Alfred HeroProfessor, Electrical Engineering and Computer ScienceCo-Directors, Management Committee Methodologies: Data Collection Design, Data Mining, Data Visualization, Heterogeneous Data Integration, Machine Learning, Network Analysis, Optimization, Signal Processing |
Joseph HimleProfessor, School of Social WorkApplications: Children and Adolescents, Clinical Research, Epidemiology, Mental Health |
Jingwen HuAssociate Research Scientist, UM Transportation Research InstituteMethodologies: Computational Tools for Data Science |
Muzammil M. HussainAssistant Professor, Communication StudiesMethodologies: Algorithms, Causal Inference, Data Collection Design, Data Management, Data Mining, Data Visualization, Database Systems and Infrastructure, Human-Computer Interaction, Network Analysis |
Edward IonidesProfessor, StatisticsMethodologies: Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
H. V. JagadishProfessor, Electrical Engineering and Computer ScienceCore Faculty, Distinguished Scientist, Management Committee Methodologies: Data Management, Data Security and Privacy, Database Systems and Infrastructure, Heterogeneous Data Integration |
Judy JinProfessor, Industrial and Operations EngineeringMethodologies: Causal Inference, Decision Science, Heterogeneous Data Integration, Machine Learning, Pattern Analysis and Classification, Spatio-Temporal Data Analysis, Statistics, Tensor Analysis |
Timothy D. JohnsonProfessor, BiostatisticsMethodologies: 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 SciencesApplications: Epidemiology, Human Development, Mental Health |
Matthew Johnson-RobersonAssistant Professor, Electrical Engineering and Computer Science, Naval Architecture and Marine EngineeringMethodologies: Data Visualization, Heterogeneous Data Integration, Machine Learning |
Jack D. KalbfleischProfessor Emeritus, BiostatisticsMethodologies: Network Analysis, Optimization, Statistical Inference, Statistical Modeling, Statistics |
Steven J. KatzProfessor, Internal Medicine, School of Public HealthMethodologies: Longitudinal Data Analysis, Natural Language Processing, Survey Methodology |
Matthew KayAssistant Professor, School of InformationMethodologies: Bayesian Methods, Data Visualization, Decision Science, Human-Computer Interaction, Statistical Inference, Statistical Modeling, Statistics |
Branko KerkezAssistant Professor, Civil and Environmental EngineeringApplications: Civic Infrastructure, Environmental Sciences, Sensors and Sensor Networks, Urban Planning |
Marouane KessentiniAssistant Professor, Computer and Information ScienceMethodologies: Artificial Intelligence, Computational Tools for Data Science, Optimization |
James KibbieUniversity Organist, Professor and Chair, Organ, School of Music, Theatre & DanceApplications: Music |
John KiefferProfessor, Materials Science and EngineeringMethodologies: Predictive Modeling |
Jinseok KimResearch Assistant Professor, Institute for Social ResearchMethodologies: Data Quality, Heterogeneous Data Integration, Machine Learning, Network Analysis |
Antonios M. KoumpiasAssistant Professor, Social SciencesMethodologies: Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning, Time Series Analysis |
Danai KoutraAssistant Professor, Computer Science and EngineeringMethodologies: Computational Tools for Data Science, Data Mining, Data Visualization, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, Network Analysis, Optimization |
Anna KratzAssistant Professor, Physical Medicine and RehabilitationMethodologies: Data Visualization, Machine Learning, Signal Processing, Statistical Modeling |
Jeffrey C. LagariasProfessor, MathematicsMethodologies: Algorithms, Information Theory, Mathematics, Network Analysis, Number Theory, Optimization |
Walter S. LaseckiAssistant Professor, Computer Science and EngineeringMethodologies: Artificial Intelligence, Decision Science, Human-Computer Interaction, Machine Learning, Natural Language Processing |
Ho-Joon LeeResearch Investigator, Molecular and Integrative PhysiologyMethodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Dynamical Models, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Information Theory, Machine Learning, Mathematics, Network Analysis, Number Theory, Pattern Analysis and Classification, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Tensor Analysis, Time Series Analysis |
Jon LeeG. Lawton and Louise G. Johnson Professor, Industrial and Operations EngineeringMethodologies: Algorithms, Graph Theory and Graph-based Methods, Information Theory, Mathematics, Optimization, Spatio-Temporal Data Analysis |
Honglak LeeAssociate Professor, Computer Science and EngineeringEducation and Training Sub-Committee Methodologies: Artificial Intelligence, Data Mining, Deep Learning, Machine Learning |
Peter LenkProfessor,Methodologies: Algorithms, Bayesian Methods, Computational Tools for Data Science, Data Mining, Decision Science, Dynamical Models, Econometrics, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis |
Margaret C. LevensteinDirector, Inter-university Consortium for Political and Social ResearchManagement Committee Methodologies: Data Security and Privacy |
Elizaveta LevinaVijay Nair Collegiate Professor, StatisticsMethodologies: 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 |
Jun LiAssistant Professor, Technology and OperationsMethodologies: Causal Inference, Econometrics, Network Analysis, Statistics |
Jun LiProfessor, Computational Medicine and BioinformaticsCore Faculty Methodologies: Heterogeneous Data Integration, High-Dimensional Data Analysis, Missing Data and Imputation |
Roderick LittleProfessor, BiostatisticsMethodologies: Bayesian Methods, Causal Inference, Missing Data and Imputation, Statistical Modeling, Survey Methodology |
Mingyan LiuProfessor, Electrical Engineering and Computer ScienceMethodologies: Causal Inference, Data Mining, Decision Science, Machine Learning, Network Analysis, Optimization, Statistical Modeling |
Xuefeng (Chris) LiuAssociate Professor, NursingMethodologies: Bayesian Methods, Causal Inference, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
Henry LiuProfessor, Civil and Environmental EngineeringMethodologies: Artificial Intelligence, Data Mining, Machine Learning |
Vahid LotfiSenior Vice Provost and Professor, Management Sciences, Flint School of ManagementMethodologies: Classification, Data Mining, Optimization, Predictive Modeling |
Jerome P. LynchProfessor, Donald Malloure Department Chair, Civil and Environmental EngineeringMethodologies: 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 ScienceMethodologies: Data Security and Privacy |
Puneet ManchandaProfessor, MarketingMethodologies: Bayesian Methods, Causal Inference, Data Mining, Dynamical Models, Econometrics, Machine Learning, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling |
Murali ManiAssociate Professor, Computer ScienceMethodologies: Algorithms, Data Management, Data Visualization |
Z. Morley MaoProfessor, Computer Science EngineeringMethodologies: Machine Learning |
Jason MarsAssistant Professor, Computer Science and EngineeringMethodologies: Artificial Intelligence, Data Collection Design, Deep Learning, Machine Learning, Natural Language Processing |
Heather B. MayesAssistant Professor, Chemical EngineeringMethodologies: Data Visualization |
Brian P. McCallProfessor, EducationMethodologies: Dynamical Models, Econometrics, Optimization, Statistics |
Jeffrey S. McCulloughAssociate Professor, Health Management and Policy, School of Public HealthMethodologies: Algorithms, Bayesian Methods, Causal Inference, Econometrics, Longitudinal Data Analysis, Machine Learning |
Timothy McKayProfessor, PhysicsChallenge 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 ScienceMethodologies: Geographic Information Systems, Machine Learning, Statistics |
Qiaozhu MeiAssociate Professor, InformationMethodologies: Data Mining, Machine Learning, Natural Language Processing, Network Analysis |
George MichailidisAssociate Professor, StatisticsMethodologies: Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Optimization, Spatio-Temporal Data Analysis |
Eric MichielssenProfessor, Electrical Engineering and Computer Science; Associate Vice President, Research ComputingManagement Committee Methodologies: Algorithms, Mathematics |
Rada MihalceaProfessor, Electrical Engineering and Computer ScienceCore 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, AstronomyMethodologies: Bayesian Methods, Classification, Data Mining, Mathematics, Statistics |
Brian MinAssociate Professor, Political ScienceMethodologies: Image Data Processing and Analysis |
Colter MitchellFaculty Associate, Population Studies CenterMethodologies: Heterogeneous Data Integration |
Zeina MneimnehAssistant Research Scientist, Survey Research CenterMethodologies: Data Collection Design, Missing Data and Imputation, Survey Methodology |
Emily Mower ProvostAssistant Professor, Computer Science and EngineeringMethodologies: Artificial Intelligence, Classification, Data Collection Design, Deep Learning, Machine Learning, Pattern Analysis and Classification |
Barzan MozafariMorris Wellman Assistant Professor, Electrical Engineering and Computer ScienceMethodologies: 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, BiostatisticsCore Faculty, Faculty Recruitment and Engagement Sub-Committee Methodologies: Bayesian Methods, Missing Data and Imputation, Statistics |
Somangshu MukherjiAssistant Professor, Music TheoryMethodologies: Information Theory, Machine Learning, Natural Language Processing |
Yi Lu MurpheyProfessor, Electrical and Computer EngineeringMethodologies: Machine Learning, Pattern Analysis and Classification |
Raj Rao NadakuditiAssociate Professor, Electrical Engineering and Computer ScienceCore Faculty Methodologies: High-Dimensional Data Analysis, Machine Learning, Mathematics, Signal Processing, Time Series Analysis |
Viswanath NagarajanAssistant Professor, Industrial and Operations EngineeringMethodologies: Algorithms, Optimization |
Brahmajee NallamothuProfessor, Internal MedicineCore Faculty Methodologies: Data Mining, Machine Learning, Predictive Modeling |
Romesh P. NalliahDirector, Pre-Doctoral Clinical Education, School of DentistryMethodologies: Data Management, Data Mining, Data Visualization, Optimization |
Bin NanProfessor, BiostatisticsMethodologies: Longitudinal Data Analysis, Missing Data and Imputation, Statistics |
Satish NarayanasamyAssociate Professor, Electrical Engineering and Computer ScienceFaculty Recruitment and Engagement Sub-Committee Methodologies: Machine Learning |
Long NguyenAssociate Professor, StatisticsFaculty 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 |
Gilbert S. OmennProfessor, Computational Medicine and Bioinformatics, Human Genetics, Molecular Medicine & Genetics, Public HealthMethodologies: Heterogeneous Data Integration |
Luis E. OrtizAssistant Professor, Computer and Information ScienceMethodologies: 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, Electrical Engineering and Computer ScienceMethodologies: Computational Tools for Data Science, Decision Science, Dynamical Models, Optimization, Real-time Data Processing |
Josh PasekAssistant Professor, Communication StudiesCore 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 |
Sandun PereraAssistant Professor, School of ManagementApplications: Finance Research, Marketing and Consumer Behavior Research, Operations Research |
Brian PerronAssociate Professor, School of Social WorkMethodologies: Data Management, Data Visualization, Digital Data Curation |
Timothy PletcherExecutive Director, Michigan Health Information NetworkMethodologies: Data Mining, Dynamical Models, Image Data Processing and Analysis |
Keshav PokhrelAssistant Professor, StatisticsMethodologies: Predictive Modeling, Time Series Analysis |
Stephen M. PollockProfessor Emeritus, Industrial and Operations EngineeringMethodologies: Bayesian Methods, Decision Science, Optimization |
Anuj K. PradhanAssistant Research Scientist, Transportation Research InstituteMethodologies: Human-Computer Interaction |
Atul PrakashProfessor, Electrical Engineering and Computer ScienceMethodologies: Data Management, Data Security and Privacy, Database Systems and Infrastructure |
Kevin QuinnProfessor, Political ScienceFaculty Recruitment and Engagement Sub-Committee Methodologies: Statistics |
Trivellore E. RaghunathanDirector and Research Professor, Survey Research CenterMethodologies: Bayesian Methods, Data Security and Privacy, Longitudinal Data Analysis, Missing Data and Imputation, Statistical Modeling, Statistics, Survey Methodology |
Indika RajapakseAssistant Professor, Computational Medicine and BioinformaticsApplications: Bioinformatics |
Venkat RamanAssociate Professor, Aerospace EngineeringMethodologies: Predictive Modeling |
Arvind RaoAssociate Professor, Department of Computational Medicine and BioinformaticsCore Faculty Methodologies: Data Mining, Heterogeneous Data Integration, Image Data Processing and Analysis |
Daniel RomeroAssistant Professor, School of InformationMethodologies: Data Mining, Machine Learning |
Joseph RyanAssociate Professor, School of Social WorkMethodologies: Data Visualization |
Greg RybarczykAssociate Professor, Geography, Planning and EnvironmentMethodologies: Data Management, Data Visualization, Geographic Information Systems, Network Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Modeling |
Romesh SaigalProfessor, Industrial & Operations EngineeringMethodologies: Artificial Intelligence, Bayesian Methods, Classification, Data Collection Design, Deep Learning, Econometrics, Mathematics, Optimization, Predictive Modeling, Time Series Analysis |
Perry SamsonProfessor, Climate and Space Science, EngineeringMethodologies: Data Mining, Human-Computer Interaction, Predictive Modeling |
Matthew SchipperAssociate Professor, Radiation OncologyMethodologies: Statistics |
Santiago SchnellProfessor, Molecular and Integrative PhysiologyMethodologies: Algorithms, Machine Learning, Mathematics, Statistical Modeling |
Eric SchwartzAssistant Professor, MarketingMethodologies: Bayesian Methods, Decision Science, Machine Learning, Optimization |
Clayton ScottAssociate Professor, Electrical Engineering and Computer ScienceMethodologies: Algorithms, Machine Learning |
Lawrence SeifordProfessor, Industrial & Operations EngineeringMethodologies: Data Visualization, Decision Science, Econometrics, Mathematics, Optimization, Statistics |
Ananda SenProfessor, Biostatistics, Family MedicineMethodologies: Bayesian Methods, Statistics |
Srijan SenProfessor, Depression and NeurosciencesCore Faculty Applications: Clinical Research, Genetics, Genomics, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Mental Health, Mobile Devices, Sensors and Sensor Networks |
Taysseer SharafAssistant Professor, StatisticsMethodologies: Artificial Intelligence, Bayesian Methods, Data Visualization, Deep Learning, Machine Learning, Network Analysis, Statistical Inference, Statistical Modeling, Time Series Analysis |
Kerby SheddenProfessor, StatisticsEducation 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 EngineeringMethodologies: Algorithms, Decision Science, Dynamical Models, Graph Theory and Graph-based Methods, Mathematics, Optimization, Spatio-Temporal Data Analysis |
Jie ShenProfessor, Computer and Information ScienceMethodologies: 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 |
Stephen SmithAssistant Professor, Ecology and Evolutionary BiologyMethodologies: Algorithms, Data Mining, Statistical Inference |
Peter X. K. SongProfessor, BiostatisticsMethodologies: 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 |
S. SriramAssociate Professor, Marketing, Ross School of BusinessMethodologies: Causal Inference, Dynamical Models, Econometrics, Machine Learning, Predictive Modeling, Statistical Modeling |
Stilian A. StoevAssociate Professor, StatisticsMethodologies: Data Visualization, Statistical Inference, Statistics |
Quentin StoutProfessor, Computer Science and EngineeringMethodologies: Algorithms, Classification |
Martin J. StraussProfessor, Electrical Engineering and Computer Science, MathematicsMethodologies: Algorithms, Data Security and Privacy, High-Dimensional Data Analysis, Machine Learning, Mathematics, Sparse Data Analysis |
Wencong SuAssistant Professor, Electrical Engineering and Computer ScienceMethodologies: Data Mining, Optimization |
Vijay SubramanianAssociate Professor, Electrical Engineering and Computer ScienceMethodologies: 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, StatisticsMethodologies: High-Dimensional Data Analysis, Machine Learning, Statistical Inference |
Rie SuzukiAssociate Professor, Public Health and Health SciencesMethodologies: Data Management, Data Mining, Longitudinal Data Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling |
Jeremy M G TaylorProfessor, BiostatisticsManagement 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 |
Stephanie TeasleyResearch Professor, School of InformationCore Faculty, Management Committee Applications: Behavioral Science, Education, Learning Analytics, Social Sciences |
Ambuj TewariAssistant Professor, Electrical Engineering and Computer Science, StatisticsMethodologies: 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 |
Rocio TitiunikJames Orin Murfin Associate Professor, Political ScienceFaculty Recruitment and Engagement Sub-Committee Methodologies: Econometrics, Natural Language Processing, Statistical Inference, Statistics |
Michael TraugottResearch Professor, Center for Political StudiesApplications: Political Science, Social Sciences, Survey Research |
Suleyman UludagAssociate Professor, Computer Science, UM-FlintMethodologies: Computational Tools for Data Science, Data Collection Design, Data Management, Data Security and Privacy, Graph Theory and Graph-based Methods, Optimization |
Shravan VeerapaneniAssociate Professor, MathematicsMethodologies: Algorithms, Data Visualization, Machine Learning, Mathematics, Tensor Analysis |
V. G. Vinod VydiswaranAssistant Professor, Learning Health SciencesMethodologies: Data Mining, Heterogeneous Data Integration, Machine Learning, Natural Language Processing |
Nils G. WalterFrancis S. Collins Collegiate Professor, ChemistryMethodologies: Bayesian Methods, Data Management, Data Visualization, Network Analysis, Pattern Analysis and Classification, Time Series Analysis |
Naisyin WangProfessor, StatisticsMethodologies: Dynamical Models, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Missing Data and Imputation, Statistics |
Kevin WardProfessor, Emergency MedicineManagement Committee Methodologies: Real-time Data Processing, Signal Processing |
Lu WeiAssistant Professor, Electrical and Computer EngineeringMethodologies: Information Theory, Mathematics |
Brady WestAssociate Professor, Institute for Social ResearchMethodologies: 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 WiensAssistant Professor, Computer Science and EngineeringMethodologies: Artificial Intelligence, Computational Tools for Data Science, Data Mining, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis |
Zhenke WuAssistant Professor, BiostatisticsCore Faculty Methodologies: Bayesian Methods, Computational Tools for Data Science, Heterogeneous Data Integration, Statistical Inference, Statistical Modeling |
Hongwei XuResearch Assistant Professor, Survey Research Center, Institute for Social ResearchMethodologies: Bayesian Methods, Causal Inference, Data Collection Design, Geographic Information Systems, Longitudinal Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics |
Ming XuAssociate Professor, School for Environment and SustainabilityMethodologies: Data Mining, Data Visualization, Graph Theory and Graph-based Methods, Missing Data and Imputation, Network Analysis, Optimization |
Jieping YeAssociate Professor, Computational Medicine and BioinformaticsManagement Committee Methodologies: Artificial Intelligence, Data Mining, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Tensor Analysis, Time Series Analysis |
Amy M. YorkeAssistant Professor, Physical TherapyMethodologies: Survey Methodology |
Jon ZelnerAssistant Professor, EpidemiologyMethodologies: Data Visualization, Dynamical Models, Network Analysis |
Jun ZhangProfessor, Mathematics, PsychologyCore Faculty Methodologies: Machine Learning, Mathematics |
Ding ZhaoAssistant Research Scientist, Mechanical EngineeringMethodologies: Algorithms, Bayesian Methods, Data Security and Privacy, Data Visualization, Decision Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Signal Processing |
Shuheng ZhouAssistant Professor, StatisticsMethodologies: Algorithms, Decision Science, Missing Data and Imputation, Network Analysis, Optimization, Spatio-Temporal Data Analysis |
Ji ZhuProfessor, StatisticsMethodologies: Algorithms, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Optimization, Statistical Modeling |
Qiang ZhuProfessor, Computer and Information ScienceMethodologies: Data Management, Data Mining, Data Security and Privacy, Heterogeneous Data Integration, Optimization, Spatio-Temporal Data Analysis |
Paul ZimmermanAssistant Professor, ChemistryMethodologies: Machine Learning |
Sebastian ZoellnerAssociate Professor, BiostatisticsEducation and Training Sub-Committee Methodologies: Statistics |