Yonatan Gur

Associate Professor, Operations, Information & Technology
(650) 723-2043
CV

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 developing and synergizing operations research and machine learning methods 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

Publications

Journal Articles

Yonatan Gur, Gregory Macnamara, Ilan Morgenstern, Daniela Saban
Management Science
2023 Vol. 69 Issue 10 Pages 5695–6415
Yonatan Gur, Ahmadreza Momeni
M&SOM
2022 Vol. 24 Issue 5 Pages 2666–2684
Yonatan Gur, Gregory Macnamara, Daniela Saban
Management Science
2022 Vol. 68 Issue 4 Pages 2714–2731
Yonatan Gur, Ahmadreza Momeni, Stefan Wager
Operations Research
2022 Vol. 70 Issue 6 Pages 3198–3216
Yonatan Gur, Dan A. Iancu, Xavier Warnes
Management Science
2021 Vol. 67 Issue 6 Pages 3757–3784
Santiago Balseiro, Yonatan Gur
Management Science
2019 Vol. 65 Issue 9 Pages 3952-3968
Omar Besbes, Yonatan Gur, Assaf Zeevi
Stochastic Systems
2019 Vol. 9 Issue 4 Pages 319-337
Yonatan Gur, Ahmadreza Momeni
Advances in Neural Information Processing Systems (NeurIPS)
2018 Vol. 31 Pages 7473-7482
Yonatan Gur, Daniela Saban, Nicolas Stier-Moses
Operations Research
2018 Vol. 66 Issue 4 Pages 1058-1067
Yonatan Gur, ‪Lijian 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
2016 Vol. 18 Issue 1 Pages 15-33
Omar Besbes, Yonatan Gur, Assaf Zeevi
Operations Research
2015 Vol. 63 Issue 5 Pages 1227-1244
Omar Besbes, Yonatan Gur, Assaf Zeevi
Advances in Neural Information Processing Systems (NIPS)
2014 Vol. 27 Pages 199-207

Working Papers

Academic Publications

Yonatan Gur, Gregory Macnamara, Ilan Morgenstern, Daniela Saban
Web and Internet Economics (WINE)
2021

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 06, 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 09, 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.