Fedor Sandomirskiy

Fedor Sandomirskiy is an Assistant Professor of Economics at Princeton University's Department of Economics. His research focuses on microeconomic theory, information economics, and economic design, blending insights from game theory and algorithmic approaches. Previously, he held roles including Associate Research Scholar and Lecturer at Princeton, a Linde Postdoctoral Fellow at Caltech, and postdoctoral positions at the Technion and HSE University. He has served on program committees for the ACM Conference on Economics and Computation (EC) since 2019.

His work emphasizes methodological innovations to improve strategic interactions and mechanism design. Notable contributions include characterizing correlated equilibria, analyzing Bayesian persuasion via optimal transport, and developing algorithms for fair division of resources. He has been recognized with the EC'20 Best Paper Award for 'Feasible Joint Posterior Beliefs.'

Research interests span game theory, mechanism design, fair division, and stochastic choice, with applications in market design, social choice, and information economics. Recent work explores narrow bracketing in games, stable matching frameworks, and decomposition of stochastic preferences.

He teaches advanced courses such as Algorithmic Economics and has contributed to survey materials on topics like competitive resource allocation and information design. His interdisciplinary approach bridges computer science and economics, addressing foundational questions in welfare analysis and mechanism design.