Yonatan Gur is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business. His research combines operations research and machine learning methods with empirical data analysis in developing broad principles and algorithms for dynamic optimization in content platforms and markets. His research has been recognized by several awards, including the Informs 2019 Lanchester Prize. 

Yonatan has taught core MBA and MSx courses on Operations Management and Strategy, and Ph.D. courses on 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.