Yonatan Gur

Yonatan Gur
Associate Professor, Operations, Information & Technology
Contact Info
YonatanGur

Bio

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 revenue management and service operations. He study challenges that are fundamental for increasing revenue streams and long-run sustainability in online services, focusing on: (1) Developing principles and practical methods of data-driven optimization in dynamic environments that are common in the digital economy; and (2) Studying the implications of these on market design, experiment design, and service provision in online markets and platforms, including product recommendation systems, advertising platforms, and two-sided marketplaces.

Prior to joining Stanford in 2014 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

  • Informs Lanchester Prize, 2019
  • Informs JFIG Paper Award, honorable mention, 2018
  • Louise and Claude N. Rosenberg Jr. Faculty Scholar for 2016-2017
  • M&SOM 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

Publications

Journal Articles

Omar Besbes, Yonatan Gur, Assaf Zeevi. Stochastic Systems. December 2019, Vol. 9, Issue 4, Pages 319-337.
Santiago Balseiro, Yonatan Gur. Management Science. September 2019, Vol. 65, Issue 9, Pages 3952-3968.
Yonatan Gur, Ahmadreza Momeni. Advances in Neural Information Processing Systems (NeurIPS). December 2018, Vol. 31, Pages 7473-7482.
Yonatan Gur, Daniela Saban, Nicolas Stier-Moses. Operations Research. August 2018, Vol. 66, Issue 4, Pages 1058-1067.
Yonatan Gur, Lijlan Lu, Gabriel Weintraub. Manufacturing & Service Operations Management. September 2017, Vol. 19, Issue 4, Pages 586-603.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Manufacturing & Service Operations Management. January 2016, Vol. 18, Issue 1, Pages 15-33.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Operations Research. October 2015, Vol. 63 , Issue 5, Pages 1227-1244.
Omar Besbes, Yonatan Gur, Assaf Zeevi. Advances in Neural Information Processing Systems (NIPS). December 2014, Vol. 27, Pages 199-207.

Working Papers

On the Disclosure of Promotion Value in Platforms with Learning Sellers
Yonatan Gur, Gregory Macnamara, Daniela Saban2020
Value Loss in Allocation Systems with Provider Guarantees
Yonatan Gur, Dan A. Iancu, Xavier Warnes2020
Sequential Procurement with Contractual and Experimental Learning
Yonatan Gur, Gregory Macnamara, Daniela Saban2019

Teaching

Degree Courses

2019-20

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 year-long course takes a hands-on approach to learning about conducting research in Operations, Information and Technology. It will cover a broad spectrum of cutting-edge research in OIT from conceiving an idea to formulating a research...

2018-19

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...

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

Insights by Stanford Business

December 10, 2019
Millions of online ads get sold by auction each day. The algorithms behind it all are complicated. But simple ideas can be effective.
December 6, 2019
Stanford GSB professors recommend the books they’re most likely to give as presents over this year’s holiday season.
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.