Yonatan Gur

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

Research Statement

Yonatan Gur's primary research lies in the intersection of revenue management and service operations, with a focus on (i) developing principles and practical methods of data-driven learning and sequential optimization in dynamic and strategic environments; and (ii) study the implications of these on service provision in online marketplaces and platforms, including ad auction platforms, recommendation systems, and social networks. Such markets present competitive landscapes characterized by complexity, uncertainty, and non-stationarity. These features drive new operational challenges that are fundamental for increasing revenue streams as well as for maintaining long-run sustainability in many online services.

Bio

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

  • 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. 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

Publications

Journal Articles

Santiago Balseiro, Yonatan Gur. Forthcoming in Management Science. 2018.
Yonatan Gur, Daniela Saban, Nicolas Stier-Moses. Operations Research. 2018, Vol. 66 (4), Pages 1058-1067.
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.

Working Papers

Teaching

Degree Courses

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.,...

2017-18

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...

2016-17

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...

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