Yonatan Gur

Yonatan Gur
Assistant Professor, Operations, Information & Technology
Contact Info
Assistant Professor of Operations, Information & Technology

Research Statement

Yonatan Gur's primary research interests include the intersection of revenue management and service operations, with a focus on data-driven learning and performance optimization under uncertain, dynamic environments. The main field of applications that he studies is online services, and in particular ones provided in online advertising markets, including ad auction platforms, recommendation services, and social networks. These markets present a competitive landscape that is often characterized by extreme complexity, uncertainty, and non-stationarity, together with the necessity of making numerous decisions in very short time scales.


Yonatan Gur is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. Prior to joining Stanford in 2014 he 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

Awards and Honors

  • Louise and Claude N. Rosenberg Jr. Faculty Scholar for 2016-2017
  • M&SOM Student Paper Award, First Prize, 2014
  • Informs G. E. 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


Journal Articles

Yonatan Gur, Lijlan Lu, Gabriel Weintraub. Manufacturing & Service Operations Management. 2017, Vol. 19 (4), Pages 586-603.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Manufacturing & Service Operations Management. 2016, Vol. 18 (1), Pages 15-33.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Operations Research. 2015, Vol. 63 (5), Pages 1227-1244.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Advances in Neural Information Processing Systems 27 (NIPS'14). 2014, Pages 199-207.


Degree Courses


Operations refer to the processes through which businesses produce and deliver products or services. Managing operations well is necessary in order for these processes to be completed in a timely manner, consume minimal resources and costs, and...


This course focuses on basic managerial issues arising in the operations of both manufacturing and service industries. The objectives of the course are to familiarize students with the problems and issues confronting operations managers and to...

In most real-world problems, decision-makers often face uncertainty with respect to the underlying modelsnnthat drive the rewards/costs associated with potential strategies. The uncertainty in the problem can bennmodeled in a number of ways (e.g...

Insights by Stanford Business

March 16, 2016
Scintillating headlines draw readers, but there’s a better way to win audiences.

School News

September 9, 2014
Stanford GSB welcomes seven tenure-line faculty and 17 lecturers from a range of disciplines who will infuse the school’s curriculum with fresh perspectives.