Samuel Lucas Dept of Sociology research methods, demography, sociology, social stratification, sociology of education, research statistics
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Haiyan Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Thad Dunning Dept of Political Science political economy, ethnic politics, comparative clientelism in developing countries, research design, causal inference, statistical methods, multi-method research
Alexandre Mas Haas School of Business labor markets, human resources, data analysis and statistical methods
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Aaron Fisher Dept of Psychology Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and Statistics
Patrick Bradshaw School of Public Health epidemiologic methods, Bayesian methods, cancer epidemiology, cardiometabolic risk
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
William A. Lester, Jr. Dept of Chemistry theoretical and physical chemistry, advances in basic theory, computational methods, study of molecular electronic structure, quantum Monte Carlo method, Born-Oppenheimer approximation
Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Jonah B. Gelbach School of Law civil procedure, statutory interpretation, law and economics, event study methodology, securities litigation, economics of crime, public assistance, statistical methods
Ian Wang Dept of Environmental Science, Policy & Management genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics
Daniel Klein Division of Computer Science (EECS) unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Henry Brady Dept of Political Science Goldman School of Public Policy comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Samuel Lucas
Samuel Lucas
Samuel Lucas
