Xiaosheng Mu

Xiaosheng Mu is an Associate Professor in the Department of Economics at Princeton University. He previously held positions as an Assistant Professor of Economics at Columbia University and a post-doctoral researcher at the Cowles Foundation at Yale University. He earned his Ph.D. in Economics from Harvard University, advised by Drew Fudenberg, Eric Maskin, and Tomasz Strzalecki.

His research focuses on information acquisition, mechanism design, stochastic orders, and their applications to decision making. Key contributions include work on pricing strategies under informational robustness, privacy-preserving auctions, and market dynamics on global e-commerce platforms. His work bridges theoretical economics with practical applications in algorithm design, privacy mechanisms, and behavioral analysis.

Xiaosheng has published in top journals such as Econometrica, the Quarterly Journal of Economics, and the Journal of Political Economy. Notable publications include 'Monotone Additive Statistics' (Econometrica, 2024) and 'Algorithmic Design: A Fairness-Accuracy Frontier' (Journal of Political Economy, 2024). His research often employs advanced mathematical techniques from probability theory, game theory, and optimization.

He has collaborated extensively with scholars such as Annie Liang, Vasilis Syrgkanis, and Luciano Pomatto. Current research projects explore information friction in digital markets and the design of privacy-preserving economic mechanisms. His work consistently addresses foundational questions in economics while maintaining relevance to modern technological challenges.