Samuel D. Pimentel

Samuel D. Pimentel is an Assistant Professor in the Statistics Department at the University of California, Berkeley. He holds a B.S. (Mathematical & Computational Science) from Stanford University and a Ph.D. (Statistics) from the University of Pennsylvania. His research aims to understand causal relationships using large administrative datasets from the social and biomedical sciences, with a particular focus on the optimal design of comparison groups and sensitivity analysis for unobserved confounding. His work has appeared in leading statistical and social science journals (Journal of the American Statistical Association, Biometrika, American Journal of Political Science). He is an Associate Editor for the Journal of Causal Inference, and his research has been supported by the U.S. Food and Drug Administration and by a National Science Foundation CAREER award.