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

Weintraub is an associate professor of operations, information, and technology at 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 is in the areas of data science, operations, management science, industrial organization, and market design. He is particularly interested in developing mathematical, computational, and econometric models to study the economics and the optimization of marketplaces. Before obtaining his PhD 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 PhD, he spent ten years as faculty at 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 in Management Science and Engineering, Stanford University, 2006
  • MA in Economics, Stanford University, 2005
  • Industrial Engineering Degree, University of Chile, 1999
  • BS in 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, 2013–2015
  • Associate Professor of Decision, Risk, & Operations Division, Columbia University, 2010–2012
  • Assistant Professor of Decision, Risk & Operations Division, Columbia University, 2006–2010
  • Visiting Scholar, Mossavar-Rahmani Center for Business and Government, Harvard Kennedy School of Government, 2006–2007
  • Full-Time Instructor, Industrial Engineering Department, University of Chile, 1999–2001

Professional Experience

  • Senior Adviser, Feastfox, 2019–present
  • Advisory Board ad honorem, Start-Up Chile, 2016–present
  • Senior Adviser, Airbnb, 2018–2020
  • Senior Adviser, AppNexus, 2018–2019
  • Co-Investigator, joint project with Dirección ChileCompra funded by Fondef Chile, 2017–2018
  • Chief Economist, AppNexus, 2016–2018
  • Market Design Consultant, AppNexus, 2015–2016
  • Co-Principal Investigator, joint project with Dirección ChileCompra funded by Chile-Columbia University Fund Grant, 2014
  • Project Lead, project funded by Dirección ChileCompra and Chazen Institute of International Business, 2011–2012

Awards and Honors

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

Publications

Journal Articles

Dirk Bergemann, Francisco Castro, Gabriel Weintraub. Journal of Economic Theory. July 2020, Vol. 188.
Bar Light, Gabriel Weintraub. Operations Research (forthcoming). 2020.
Daniela Saban, Gabriel Weintraub. Operations Research (forthcoming). 2020.
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.
Sang Won Kim, Marcelo Olivares, Gabriel Weintraub. Management Science. October 8, 2016, Vol. 60, Issue 5, Pages 1180-1201.
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.
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

The Social Divide of Social Distancing: Lockdowns in Santiago, Chile During the Covid-19 Pandemic
Aldo Carranza, Marcel Goic, Eduardo Lara, Marcelo Olivares, Gabriel Weintraub, Julio Covarrubia, Cristian Escobedo, Natalia Jara, Leonardo J. Basso, September 122020
Third-Degree Price Discrimination Versus Uniform Pricing
Dirk Bergemann, Francisco Castro, Gabriel Weintraub, June 302020
Experimental Design in Two-Sided Platforms: An Analysis of Bias
Ramesh Johari, Hannah Li, Gabriel Weintraub, June 162020
Pay-as-Bid Procurement Mechanisms for Differentiated Products
J. Choi, Daniela Saban, Gabriel Weintraub2020
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach
Ramesh Johari, Bar Light, Gabriel Weintraub, December 42019

Teaching

Degree Courses

2020-21

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...

The COVID-19 crisis revealed many fundamental structural, cultural, and operational challenges in the world. Many of these challenges, for example managing patient care in a limited resource environment, were well-known before COVID-19 and the...

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...

Executive Education & Other Non-Degree Programs

Conferences, Talks, and Speaking Engagements

  • Experimental Design in Two-Sided Platforms: An Analysis of Bias
    With R. Johari and H. Li, ACM Conference on Economics and Computation, 2020
  • The Scope of Sequential Screening with ExPost Participation Constraints
    With D. Bergemann and F. Castro, ACM Conference on Economics and Computation, 2017
  • Dynamic Mechanism Design with Budget Constrained Buyers Under Limited Commitment
    With S. Balseiro and O. Besbes, ACM Conference on Economics and Computation, 2016
  • Procurement Mechanisms for Differentiated Products
    With D. Saban, ACM Conference on Economics and Computation, 2015
  • Auctions for Online Display Advertising Exchanges: Approximations and Design
    With S. Balseiro and O. Besbes, ACM Conference on Electronic Commerce, 2013
  • Structural Estimation of a Large-Scale Combinatorial Auction
    With S.W. Kim and M. Olivares, ACM Conference on Electronic Commerce, 2013
  • A Procurement Auction Model for Framework Agreements
    With Y. Gur and D. Escobar, Charting a Course in Public Procurement Innovation and Knowledge Sharing, 2012
  • On Oblivious Equilibrium for Large Population Stochastic Games
    With S. Adlakha, R. Johari, and A. Goldsmith, IEEE Conference on Decision and Control, 2010
  • Competition, Market Coverage, and Quality Choice in Interconnected Platforms
    With P. Njoroge, A. Ozdaglar, and N. Stier, NetEcon Workshop, 2009
  • Oblivious Equilibrium for Large-Scale Stochastic Games with Unbounded Costs
    With S. Adlakha, R. Johari and A. Goldsmith, IEEE Conference on Decision and Control, 2008
  • Oblivious Equilibrium for Stochastic Games with Concave Utility
    With S. Adlakha, R. Johari, and A. Goldsmith, Allerton Conference on Communications, Control and Computing, 2008
  • Oblivious Equilibrium for General Stochastic Games with Many Players
    With 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
    With C.L. Benkard and B. Van Roy, Advances in Neural Information Processing Systems, MIT Press, 2005

Service to the Profession

  • Co-Department Editor, Revenue Management and Market Analytics Area, Management Science, 2018–present
  • Co-PhD Liaison, Operations, Information & Technology Area, Stanford Graduate School of Business, 2016–present
  • Associate Editor, Stochastic Models and Simulation Area, Management Science, 2017
  • Co-Organizer, Marketplace Innovation Workshop, 2015–2018
  • Associate Editor, Computational Economics Area, Operations Research, 2015–2017
  • Associate Editor, Games, Information, and Networks Area, Operations Research, 2013–2017

Professional Society Affiliations

  • Informs
  • AEA
  • Econometric Society

Student Advising & Collaboration

  • Aldo Carranza, PhD student, Stanford University (expected graduation 2022)
  • Je-ok Choi, PhD student, Stanford University, co-advised with Daniela Saban (expected graduation 2022)
  • Bar Light, PhD student, Stanford GSB, co-advised with Ramesh Johari (expected graduation 2021)
  • Hannah Li, PhD student, Stanford University, co-advised with Ramesh Johari (expected graduation 2021)
  • Francisco Castro, PhD ’19, Columbia Business School, co-advised with Omar Besbes and Ilan Lobel. First position: Postdoctoral Researcher, Uber
  • Eyal Levy, MS ’17, University of Chile, co-advised with Marcelo Olivares. First position: Consultant, IE University of Chile
  • Daniela Saban, PhD ’15, Columbia Business School, co-advised with Jay Sethuraman. First position: Assistant Professor, Stanford GSB
  • Lijian Lu, PhD ’16, Columbia Business School, co-advised with Awi Federgruen. First position: Goldman Sachs
  • Yonatan Gur, PhD ’14, Columbia Business School, primary advisors Omar Besbes and Assaf Zeevi. First position: Assistant Professor, Stanford GSB
  • Santiago Balseiro, PhD ’13, Columbia Business School, co-advised with Omar Besbes. First position: Assistant Professor, Duke Fuqua Business School
  • Sang Won Kim, PhD ’13, Columbia Business School, co-advised with Marcelo Olivares. First position: Assistant Professor, The Chinese University of Hong Kong
  • Bar Ifrach, PhD ’12, Columbia Business School, co-advised with Costis Maglaras. First position: Postdoctoral Researcher, Stanford MS&E
  • Denis Saure, PhD ’10, Columbia Business School, primary advisor Assaf Zeevi. First position: Assistant Professor, IE Pittsburg University
  • Sachin Adlakha, PhD ’10, Stanford University, primary advisors Andrea Goldsmith and Ramesh Johari. First position: Postdoctoral Researcher, Caltech
  • Paul Njoroge, PhD ’10, MIT, primary advisor Asu Ozdaglar. First position: Corporate Research, Liberty Mutual
  • Daniel Yung, MS ’09, University of Chile, co-advised with Marcelo Olivares and Rafael Epstein. First position: Consultant, IE University of Chile

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.