Yonatan Gur
Associate Professor of Operations, Information & Technology
Bio
Yonatan Gur is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business. His 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 a variety of online markets and platforms. His research has been recognized by several awards, including the Informs 2019 Lanchester Prize.
Yonatan has taught core MBA and MSx courses in Operations Management and Strategy, and 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.
Academic Degrees
- PhD, Columbia University, 2014
- MS, Tel Aviv University, 2009
- BS, Tel Aviv University, 2007
Academic Appointments
- Associate Professor of Operations, Information and Technology, Stanford GSB, 2019–present
- Assistant Professor of Operations, Information and Technology, Stanford GSB, 2014–2019
Awards and Honors
- Lanchester Prize, 2019
- Informs Junior Faculty Interest Group Best Paper Award, honorable mention, 2018
- Louise and Claude N. Rosenberg Jr. Faculty Scholar for 2016–17
- M&SOM Society Student Paper Award, first prize, 2014
- Informs G. Nicholson Student Paper Award, honorable mention, 2013
- Deming Doctoral Fellowship, W. E. Deming Center for Quality Productivity and Competitiveness, 2012
- Eugene M. Lang Support Fund Grant, Columbia Business School, 2011