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Avi Feller is an Associate Professor in the Department of Statistics and the Goldman School of Public Policy at the University of California, Berkeley. His methodological research focuses on the intersection of learning and policy evaluation in the social sciences, particularly through the use of randomized experiments. His applied research aims to assist governments by using data to design, implement, and evaluate effective policies. With a background in applied and theoretical statistics, Feller employs Bayesian methods and machine learning techniques to advance statistical applications within social policy. Prior to his doctoral studies, he served as Special Assistant Director in the White House Office of Management and Budget, which provided him with a practical perspective on public policy and budgetary issues. He holds a Ph.D. in Statistics from Harvard University, an M.Sc. in Applied Statistics from the University of Oxford as a Rhodes Scholar, and a B.A. in Political Science and Applied Mathematics from Yale University.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.