Gabriel Weintraub

Gabriel Weintraub
Associate Professor, Operations, Information & Technology
Contact Info
GabrielWeintraub

Research Statement

Gabriel Weintraub's research is in the areas of operations, management science, industrial organization, computational economics, and market design. Most recently, he has become particularly interested in studying the operations, optimization, and economics of digital marketplaces.

Bio

Gabriel Weintraub is an Associate Professor of Operations, Information & Technology at the Stanford Graduate School of Business. He holds a PhD in Management Science and Engineering and a MA in Economics, both from Stanford University. His research covers several subjects that lie in the intersection between operations/management science and microeconomics. He is particularly interested in developing mathematical, computational, and econometric models to study the economics and the optimization of marketplaces. Before obtaining his Ph.D. at Stanford, Gabriel was a full-time instructor at the Department of Industrial Engineering, University of Chile where he taught undergraduate courses and consulted for the Chilean government. After his Ph.D., he spent ten years at the faculty of Columbia Business School where he taught MBA and PhD courses in operations and game theory. He is a recipient of the IFORS Prize for “Operations Research in Development 2002,” given every three years to the best application of operations research/management science in a developing country. He also received the MSOM Young Scholar Prize 2015 that “recognizes exceptional young researchers who have made outstanding contributions to scholarship in operations management”.

Academic Degrees

  • PhD, Management Science and Engineering, Stanford University, 2006
  • MA, Economics, Stanford University, 2005
  • Industrial Engineering Degree, University of Chile, 1999
  • BS, Industrial Engineering, University of Chile, 1997

Academic Appointments

  • Associate Professor, Operations, Information & Technology, Stanford University, 2016 - present
  • Sidney Taurel Associate Professor of Business, Decision, Risk & Operations Division, Columbia University, 2013-15
  • Associate Professor of Decision, Risk, & Operations Division, Columbia University, 2010-12
  • Assistant Professor of Decision, Risk & Operations Division, Columbia University, 2006-10
  • Visiting Scholar, Mossavar-Rahmani Center for Business and Government, Harvard Kennedy School of Government, 2006-07
  • Full Time Instructor, Industrial Engineering Department, University of Chile, 1999-2001

Professional Experience

  • Senior Adviser, AppNexus, 2018-present
  • Chief Economist, AppNexus, 2016-2018
  • Senior Adviser, Airbnb, 2018-present

Awards and Honors

  • Lacob Family Faculty Scholar, 2018-2019
  • Lacob Family Faculty Scholar, 2017-2018
  • M&SOM Meritorious Service Award 2013
  • MSOM Young Scholar Prize, INFORMS, 2015
  • Operations Research in Development, IFORS, 2002
  • Distinguished Service Award, Management Science, 2013

Publications

Journal Articles

Santiago Balseiro, Omar Besbes, Gabriel Weintraub. Operations Research. May 2019, Vol. 67, Issue 3, Pages 711-730.
Yonatan Gur, Lijlan Lu, Gabriel Weintraub. Manufacturing & Service Operations Management. September 2017, Vol. 19, Issue 4, Pages 586-603.
Bar Ifrach, Gabriel Weintraub. The Review of Economic Studies. July 2017, Vol. 84, Issue 3, Pages 1106-1150.
Santiago R. Balseiro, Omar Besbes, Gabriel Weintraub. Management Science. January 27, 2016, Vol. 61, Issue 4, Pages 864-884.
Lanier Benkard, Przemyslaw Jeziorski, Gabriel Weintraub. The RAND Journal of Economics. October 2015, Vol. 46, Issue 4, Pages 671–708.
Sachin Adlakha, Ramesh Johan, Gabriel Weintraub. Journal of Economic Theory. March 2015, Vol. 156, Pages 269-316.
Paul Njoroge, Asuman Ozdaglar, Nicolás E. Stier-Moses, Gabriel Weintraub. Review of Network Economics. February 2014, Vol. 12, Issue 4, Pages 355-402.
Sang Won Kim, Marcelo Olivares, Gabriel Weintraub. Management Science. January 6, 2014, Vol. 60, Issue 5, Pages 1180-1201.
Vivek Farias, Denis Saure, Gabriel Weintraub. The RAND Journal of Economics. June 2012, Vol. 43, Issue 2, Pages 253-282.
Marcelo Olivares, Gabriel Weintraub, Rafael Epstein, Daniel Young. Management Science. April 28, 2012, Vol. 58, Issue 8, Pages 1458-1481.
Dominic DiPalantino, Ramesh Johan, Gabriel Weintraub. Operations Research Letters. September 2011, Vol. 39, Issue 5, Pages 390-396.
Gabriel Weintraub, Lanier Benkard, Ben Van Roy. Journal of Economic Theory. September 2011, Vol. 146, Issue 5, Pages 1965–1994.
Gabriel Weintraub, Ramesh Johari, Benjamin Van Roy. Operations Research. September 2010, Vol. 58, Issue 5, Pages 1303-1317.
Gabriel Weintraub, Lanier Benkard, Benjamin Van Roy. Operations Research. June 3, 2010, Vol. 58, Issue 4, Pages 1247–1265.
Gabriel Weintraub, Lanier Benkard, Ben Van Roy. Econometrica. November 2008, Vol. 76, Issue 6, Pages 1375–1411.
Rafael Epstein, Lysette Henriquez, Jaime Catalan, Gabriel Weintraub, Cristian Martinez, Francisco Espejo. International Transactions in Operational Research. November 2004, Vol. 11, Issue 6, Pages 593-612.
Susana V. Mondschein, Gabriel Weintraub. Production and Operations Management . June 2003, Vol. 12, Issue 2, Pages 266-286.
Rafael Epstein, Lysette Henriquez, Jaime Catalan, Gabriel Weintraub, Cristian Martinez. Interfaces. December 1, 2002, Vol. 32, Issue 6, Pages 1-14.

Working Papers

Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics | PDF
Bar Light, Gabriel Weintraub, October 262019
Procurement Mechanisms for Differentiated Products | PDF
Daniela Saban, Gabriel Weintraub, August 132019
The Scope of Sequential Screening with Ex- Post Participation Constraints | PDF
Dirk Bergemann, Francisco Castro, Gabriel Weintraub, June 182019

Teaching

Degree Courses

2019-20

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

This is an MBA compressed course that covers analytic and data science tools that are currently being used to operate some of the most exciting online platforms and marketplaces in the world. This course will consist of guest lectures from...

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

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

This is an MBA compressed course that covers analytic and data science tools that are currently being used to operate some of the most exciting online platforms and marketplaces in the world. This course will consist of guest lectures from...

In this course we cover current research on the empirics of platforms and online marketplaces. We will study diverse topics relevant to the design of these markets such as search and matching, review and reputation systems, demand estimation, and...

2017-18

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars...

This is a compressed course that covers analytic and data science tools that are currently being used to operate some of the most exciting online marketplaces in the world. This course will consist of guest lectures from industry practitioners...

Executive Education & Other Non-Degree Programs

Conferences, Talks, and Speaking Engagements

  • Procurement Mechanisms for Differentiated Products
    with D. Saban in ACM Conference on Economics and Computation
  • Auctions for Online Display Advertising Exchanges: Approximations and Design
    with S. Balseiro and O. Besbes in ACM Conference on Electronic Commerce
  • Structural Estimation of a Large-Scale Combinatorial Auction
    with S.W. Kim and M. Olivares in ACM Conference on Electronic Commerce
  • A Procurement Auction Model for Framework Agreements
    Y. Gur and D. Escobar in Charting a Course in Public Procurement Innovation and Knowledge Sharing
  • On Oblivious Equilibrium for Large Population Stochastic Games
    S. Adlakha, R. Johari and A. Goldsmith in IEEE Conference on Decision and Control
  • Competition, Market Coverage, and Quality Choice in Interconnected Platforms
    Njoroge, P., A. Ozdaglar and N. Stier in NetEcon Workshop
  • Oblivious Equilibrium for Large-Scale Stochastic Games with Unbounded Costs
    S. Adlakha, R. Johari and A. Goldsmith in IEEE Conference on Decision and Control, 2008
  • Oblivious Equilibrium for Stochastic Games with Concave Utility
    Adlakha, S., R. Johari and A. Goldsmith in Allerton Conference on Communications, Control and Computing 2008
  • Oblivious Equilibrium for General Stochastic Games with Many Players
    V. Abhishek, S. Adlakha and R. Johari in Allerton Conference on Communications, Control and Computing 2007
  • Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games
    C.L. Benkard, and B. Van Roy in Advances in Neural Information Processing Systems, MIT Press

Service to the Profession

  • Co-Department Editor, Management Science, (Area: Revenue Management and Market Analytics), 2018-present
  • Associate Editor, Management Science (Area: Stochastic Models and Simulation), 2017
  • Associate Editor, Operations Research (Area: Games, Information, and Networks), 2013-2017
  • Associate Editor, Operations Research (Area: Computational Economics), 2015-2017
  • Co-Ph.D. Liaison, Operations, Information & Technology Area, Stanford Graduate School of Business, 2016-present
  • Co-organizer Marketplace Innovation Workshop, 2015 (Columbia U.), 2016 (NYU), 2017 (Stanford U.), 2018 (Toronto)

Professional Society Affiliations

  • Informs
  • AEA
  • Econometric Society

School News

November 2, 2016
This fall, the Stanford Graduate School of Business welcomed six new professors — including the 2016 winner of the prestigious John Bates Clark award, Yuliy Sannikov — and 11 lecturers.