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 addresses dynamic optimization in uncertain environments with applications in platform and market analytics. His work aims to elucidate salient features in the design and analysis of content platforms, by adapting and synergizing ideas from the operations research and machine learning disciplines together with empirical data analysis. Yonatan’s research has been recognized by several awards, including INFORMS Lanchester Prize.
Yonatan has taught core MBA and MSx courses on operations management and strategy, and PhD 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 BSc degree from the School of Physics and Astronomy and an MSc 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, 2014–19
Awards and Honors
- Lanchester Prize, 2019
- INFORMS Junior Faculty Interest Group Best Paper Award, honorable mention, 2018
- 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