His research interests include modeling dynamic market settings using tools and concepts from game theory, probability and economics. In his thesis, he developed an approximate methodology, known as mean field equilibrium, to analyze large dynamic games, and studied its applications in dynamic auctions. He has also worked on the problem of information aggregation in finite markets, and on understanding welfare effects of the presence of dark pool markets.
