Aislinn Bohren is an Associate Professor in the Economics Department at the University of Pennsylvania. She studies various topics in microeconomics with a focus on information, learning and discrimination. Her research explores questions related to learning under model misspecification, discrimination with inaccurate beliefs, information aggregation, moral hazard and the econometrics of randomized experiments. The work on discrimination has both theoretical and empirical components, and builds on her research on learning under model misspecification. Her work in the other four areas is theoretical, and includes applications to designing rating systems, information campaigns and committees, and providing incentives in online labor markets.

Professor Bohren received her Ph.D. in Economics from the University of California San Diego and her B.S. in economics and mathematics from the University of Richmond.