Jasjeet S. Sekhon is Professor of Political Science and Statistics at University of California, Berkeley. His current research focuses on methods for causal inference in observational and experimental studies and evaluating social science, public health and medical interventions. Professor Sekhon has done research on elections, voting behavior and public opinion in the United States, multivariate matching methods for causal inference, machine learning algorithms for irregular optimization problems, robust estimators with bounded influence functions, health economic cost effectiveness analysis, and the philosophy and history of inference and statistics in the social sciences.
Robson Professor of Political Science and Statistics
Charles and Louis Travers Department of Political Science
Program Evaluation, Statistical and Computational Methods, Causal Inference, Elections, Public Opinion, American Politics