Yonatan Gur

Yonatan Gur is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business. His primary research interests are in the intersection of stochastic optimization and game theory, with applications in revenue management and service operations. He studies principles and data-driven algorithms for non-stationary dynamic optimization problems, and their implications on market design, experiment design, and service provision in online markets and platforms, including product recommendation systems, media sites, education platforms, advertising platforms, and retail platforms.

His research has been recognized by Informs 2019 Lanchester Prize, by a first prize at MSOM 2014 Student Paper Award, and by honorable mentions at Informs 2018 Junior Faculty Paper Award and Informs 2013 Nicholson Student Paper Award. 

Yonatan has taught core MBA and MSx courses in Operations Management and Strategy, as well as Ph.D. courses in data-driven dynamic optimization. 

Prior to joining Stanford, Yonatan received his PhD in Decision, Risk, and Operations from Columbia Business School. He also holds a B.Sc. degree from the School of Physics and Astronomy and an M.Sc. from the School of Mathematical Sciences, Tel Aviv University.