Robert Gibbons, Blum-Riese Professor of Biostatistics, Departments of Medicine, Public Health Sciences (Biostatistics), Psychiatry and Faculty Associate, the Department of Comparative Human Development; Director, Center for Health Statistics. Professor Gibbons’ major research interests are in the areas of biostatistics, environmental statistics, and psychometrics. Over the years, his interests have included non-linear mixed-effects models, item response theory, and statistical issues in drug safety.
Don Hedeker, Professor of Public Health Sciences (Biostatistics)
Professor Hedeker’s main area of expertise is in the development and use of advanced statistical methods for clustered and longitudinal data, with particular emphasis on mixed-effects models for intensive longitudinal data including data from ecological momentary assessment (EMA). He is the primary author of four freeware computer programs for mixed-effects analysis: MIXREG for normal-theory models, MIXOR for dichotomous and ordinal outcomes, MIXNO for nominal outcomes, and MIXPREG for counts.
Andrey Rzhetsky, Professor of Human Genetics
Professor Rzhetsky is engaged in a series of computational projects that involve mathematical modeling and analysis of disparate data sets, such as electronic medical records, scientific texts, and high-throughput experimental data. The overarching goal of such analyses is formulating and testing hypotheses regarding interplay of genetic and environmental mechanisms of human disease.
Booth School of Business
Veronika Rockova, Assistant Professor in Econometrics and Statistics and James S. Kemper Foundation Faculty Scholar at the University of Chicago Booth School of Business work brings together statistical methodology, theory and computation to develop high performance tools for analyzing large datasets. Her research interests reside at the intersection of Bayesian and frequentist statistics, and include: data mining, variable selection, optimization, non-parametric methods, factor models, high-dimensional decision theory and inference.
Luc Anselin, Stein-Freiler Distinguished Service Professor of Sociology and the College Chair, Committee on Geographical Sciences Director, Center for Spatial Data Science Senior Fellow, NORC University of Chicago. Professor Anselin is an expert in spatial econometrics, focusing on the analysis of spatial data ranging from exploration to visualization and modeling. He is the developer of the SpaceStat and GeoDa software packages for spatial data analysis and a Senior Fellow at NORC.
John Brehm, Professor of Political Science; Director of Undergraduate Studies. Professor Brehm studies American political behavior, focusing on public opinion and political organizations, and conducts research in statistical methods for political science.
James Evans, Professor of Sociology; Director, Knowledge Lab; Faculty Director, Masters Program in Computational Social Sciences
Professor Evans is interested in the role that social and technical institutions, e.g. the Internet, markets, collaborations, play in collective cognition and discovery. He uses machine learning, generative modeling, social and semantic network representations to explore knowledge processes, scale up interpretive and field-methods, and create alternatives to current discovery regimes.
James Heckman, Henry Schultz Distinguished Service Professor of Economics; Director, Center for the Economics of Human Development, Director, Center for Social Program Evaluation
Professor Heckman’s research is devoted to understanding and addressing major social issues such as inequality, social mobility and effective policies for promoting human opportunity. In 2000, Heckman shared the Nobel Prize in Economics for his work on the microeconometrics of diversity and heterogeneity and for establishing a sound causal basis for public policy evaluation
Guanglei Hong, Professor of Comparative Human Development. Inaugural Chair, Committee on Quantitative Methods in Social, Behavioral, and Health Sciences; Faculty Associate, the Department of Sociology.
Professor Hong develops causal inference theories and methods for evaluating educational and social policies and programs in multi-level longitudinal settings. The current focus of her research is on designs and methods for revealing causal mediation mechanisms and spillover effects. http://voices.uchicago.edu/ghong/
Stephen Raudenbush, Lewis Sebring Distinguished Service Professor of Sociology and Public Policy; Chair, Committee on Education. Professor Raudenbush is interested in statistical models for child and youth development within social settings such as classrooms, schools, and neighborhoods. He is best known for his work developing hierarchical linear models, with broad applications in the design and analysis of longitudinal and multilevel research.
Ross Stolzenberg, Professor of Sociology, Professor Stolzenberg is a demographer and applied statistician whose research career has focused on the development and empirical testing of social stratification theory, at aggregate and individual levels of analysis.
Kazuo Yamaguchi, Hanna Holborn Gray Professor of Sociology Professor Yamaguchi is interested in statistical models for social data and mathematical models for social phenomena, the life course, rational choice, exchange networks, stratification and mobility, demography for family and employment, process of drug use progression and Japanese society.
Geoffrey Wodtke, is an Associate Professor in the Department of Sociology at the University of Chicago. His research in the areas of neighborhood effects and urban poverty, group conflict and racial attitudes, class structure and income inequality, and methods of causal inference in observational research. He is currently working on several projects dealing with the impacts of neighborhood poverty on child development, and new methods for estimating causal effects in longitudinal studies. His previous work on these topics has been published in the American Sociological Review, American Journal of Sociology, Demography, and Sociological Methodology, among other outlets. Wodtke completed his PhD in Sociology at the University of Michigan in 2014, where he also earned his MA in statistics.
Christopher Berry, William J. and Alicia Townsend Friedman Professor; Faculty Director, Master of Science Program in Computational Analysis and Public Policy; Academic Director, Center for Municipal Finance
Professor Berry’s research interests include metropolitan governance, the politics of public finance, and intergovernmental fiscal relations.
Dan Black, Professor; Deputy Dean; Project Director, National Longitudinal Survey of Youth
Professor Black researches labor economics and applied econometrics, focusing on family formations, household production, urban labor markets, human capital theory, and the economic progress of African Americans.
Steven Durlauf, Steans Professor of Educational Policy
Professor Durlauf’s major methodological contributions include both economic theory and econometrics. He helped pioneer the application of statistical mechanics techniques to the modelling of socioeconomic behavior and has developed identification analyses for the empirical analogs of these models.
Anthony Fowler, Associate Professor
Professor Fowler’s research applies econometric methods for causal inference to questions in political science, with particular emphasis on elections and political representation.
Jeffrey Grogger, Irving Harris Professor in Urban Policy
Professor Grogger specializes in labor economics, applied microeconomics, applied econometrics, and the economics of crime. His recent work has examined the effects of welfare time limits and racial profiling.
Colm O’Muircheartaigh, Professor
Professor O’Muircheartaigh’s research encompasses survey sample design, measurement errors in surveys, cognitive aspects of question wording, and latent variable models for nonresponse. He is a senior fellow in NORC, where he is responsible for the development of methodological innovations in sample design.
Stephen Stigler, Ernest DeWitt Burton Distinguished Service Professor of Statistics
Professor Stigler is an expert on the history of statistics, particularly the development of statistical methods in the natural and social sciences.
Lin Chen, Associate Professor in Public Health Sciences
Professor Chen works on developing statistical methods for high-dimensional genomics data and exploring the theory behind them. She is an expert on multivariate analysis in genetic association studies, methods for complex missing data in proteomics studies, and methods for integrative genomics.
Ishanu Chattopadhyay, Assistant Professor, Department of Medicine leads the Zed lab at the University of Chicago. He has a diverse background in machine learning, automated decision-making, stochastic processes and computational biology. His current interests include data-driven causal inference, designing therapeutic interventions with optimal outcomes in complex diseases, modeling and prediction of complex multi-scale spatio-temporal processes, and investigation of new methodologies for pattern discovery in vast structured and unstructured data sets.
Booth School of Business
Panos Toulis, Assistant Professor of Econometrics and Statistics at the University of Chicago, Booth School of Business has a Ph.D. in Statistics, and MS in Computer Science, from Harvard University. His research interests are causal inference: networks, interference/spillovers, dynamics; Statistical machine learning: large-scale inference, stochastic gradients; and Structured inference: permutation/randomization tests, data invariances.
Marc Berman, Assistant Professor in Psychology
Professor Berman studies the ability of natural environments to improve affect, attention, and memory. He is interested in brain network efficiency and its relationship to broad behaviors (e.g., self-control). He has specialties in multivariate analysis and environmental neuroscience.
Kathleen Cagney, Director Population Research Center, NORC & University of Chicago
Professor Cagney’s work examines social inequality and its relationship to health with a focus on neighborhood, race, and aging and the life course. She has developed a series of papers on neighborhood social capital and its relationship to outcomes such as self-rated health, asthma prevlaence, physical activity, and mortality during the 1995 Chicago heat wave. She also focuses on the validity of such measures and the development of new neighborhood-based metrics that reflect the perceptions and experiences of older residents. Currently she works on two chicago-based studies of neighborhood context and older adult health, and is examining the role of the social and physical environment in older adult well-being with the National Social Life, Health, and Aging Project.
Lars Peter Hansen, The David Rockefeller Distinguished Service Professor in Economics, Statistics and the College; Lars Peter Hansen is the David Rockefeller Distinguished Service Professor in Economics and Statistics at the University of Chicago. He was the inaugural director of the Becker Friedman Institute until July of 2017. He currently directs the Macro Financial Research Initiative housed under the Becker Friedman Institute. In 2013, he was a recipient of the Sverges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Hansen is known for making fundamental advances in our under-standing of how agents cope with changing and risky environments. He has contributed to the development of statistical methods designed to explore the interconnections between macro-economic indicators and assets in financial markets.
Monika Nalepa, Associate Professor of Political Science
Professor Nalepa studies post-communist Europe, transitional justice, and parties and legislatures. She is specialized in applying game-theoretic approaches to comparative politics.
Yanyan Sheng is Senior Lecturer of the Committee on Quantitative Methods in Social, Behavioral, and Health Sciences. She received her Ph.D. from the University of Missouri-Columbia in 2005. Her primary research interests focus on modeling dichotomous responses in educational and psychological measurement using advanced modern statistics, specifically, on developing and applying complex, yet efficient Bayesian hierarchical item response models. She has also been collaborating with her colleagues in areas such as science assessment, game-based learning, health education where she applies statistical/measurement methods to real data conditions.
Prior to joining the University, Sheng was a Professor of Quantitative Methods at Southern Illinois University (SIU), where she has taught graduate-level course in educational measurement and statistics for fourteen years. She was recipient of the 2006 APA Division 5 (Measurement, Evaluation & Statistics) Distinguished Dissertation Award, and the 2014 SIU COEHS Scholar Excellence Award.