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Andrew E. Gelman is a professor in the Department of Statistics and the Department of Political Science at Columbia University. He is the Higgins Professor of Statistics and has a directorial role at the Applied Statistics Center. Gelman has authored several notable books including 'Bayesian Data Analysis,' 'Teaching Statistics: Bag Tricks,' and 'Data Analysis Using Regression Multilevel/Hierarchical Models.' His research encompasses a wide range of topics such as the rational voting behavior, campaign polls, election predictability, and the implications of redistricting on democracy. He also investigates complex statistical challenges including estimating small effects, the probability of decisive votes, the relationship between seats and votes in Congress, and the impacts of social network structures. Gelman's work extends into practical issues like the arsenic contamination in Bangladesh, radon levels in basements, toxicology, medical imaging, survey methods, experimental design, statistical inference, and computational graphics. He has received several honors including the Outstanding Statistical Application award from the American Statistical Association for his significant contributions to the field.
Columbia University • New York, NY
Professor in the Departments of Statistics and Political Science, with a focus on applied statistical methodologies.
Department of Anthropology (GSAS)