Regular biography
Nima Haghpanah is a Professor of Economics AI at Yale School of Management. His research focuses on AI, with an emphasis on applied microeconomic theory, industrial organization, and information economics. He examines how information influences market outcomes and explores scenarios where firms may offer varying products or prices to different consumer groups. His work analyzes the impact of such practices on consumer welfare and market efficiency. Prior to joining Yale, he was an assistant and associate professor of Economics at Penn State from 2016 to 2025. He holds a PhD in Computer Science from Northwestern University and was a postdoctoral associate at MIT.
Scholar-generated biography
Nima Haghpanah is a professor at Yale University specializing in Microeconomics, Mechanism Design, and Auction Design. His research explores the theoretical and practical aspects of auction mechanisms, optimal pricing strategies, and market segmentation. Haghpanah's work addresses issues such as the conditions under which pure bundling is optimal, the computation of optimal auctions, and the welfare effects of price discrimination. His publications also examine topics like revenue maximization with nonexcludable goods, equilibrium pricing with positive externalities, and the design of multi-parameter auctions. His research contributes to understanding how to structure markets to achieve efficiency and fairness.