Rahul Deb

Rahul Deb is a Professor of Economics at the University of Toronto, specializing in Microeconomic Theory, Game Theory, Mathematical Economics, and Industrial Organization. He holds a Ph.D. from Yale University (2010), along with an M.Phil. (2008) and M.A. (2006) from Yale, and a B.Tech. from the Indian Institute of Technology, Delhi (2004).

His research focuses on dynamic screening mechanisms, revealed preference analysis, strategic interactions, and applications to markets and institutions. Key contributions include studies on buyer-optimal learning in multi-dimensional screening, indirect persuasion frameworks, and statistical discrimination in labor markets. His work bridges theoretical economics with empirical methods, addressing challenges in contract design, information asymmetry, and market behavior.

Recent publications emphasize robust pricing strategies in cloud computing, certification marketplace dynamics, and the role of reputation in relational contracting. His awards include the 2020 Best Paper Prize in the American Economic Journal: Microeconomics and recognition at leading conferences such as ACM Economics and Computation.

Deb teaches advanced undergraduate courses in economics (ECO310Y5Y, ECO351H5S) and actively contributes to the field through collaborations with institutions like the Rotman School of Management and the Department of Computer Science at U of T.