Jasjeet Sekhon, who conducts research on causal inference, machine learning and experimental design, has been named Eugene Meyer Professor of Political Science, Statistics and Data Science. His appointment was effective on February 20.
As a member of the College of Arts and Sciences, Sekhon has applied his work across the social sciences, including political science, economics, and epidemiology. His research focuses on causal inference methods in observational and experimental studies and evaluation of the social sciences, public health, and medical interventions. He has studied elections, voting behavior, US public opinion, multivariate matching methods for causal inference, machine learning algorithms for non-uniform optimization problems, robust estimators with finite effect functions, healthy economic cost-effectiveness analysis, and the philosophy and history of inference and statistics in the social sciences.
Sekhon’s current research focuses on developing credible, interpretable machine learning methods for estimating causal relationships.
He holds a BA from the University of British Columbia and a Ph.D. at Cornell University. He has extensive industry experience, including as Head of Advanced Data Science at Bridgewater Associates, a Connecticut-based asset management firm.
In 2020, he came to Yale University from the University of California, Berkeley, where he was the Robson Professor of Political Science and Statistics. Prior to Berkeley, he was an associate professor at Harvard University. At Yale University, he is a faculty fellow at the Institute for Social Studies and Policy.