Gabriel Weintraub

Professor, Operations, Information & Technology
+1 (650) 498-4274
CV

Gabriel Weintraub

The Amman Mineral Professor of Operations, Information & Technology

Research Statement

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

Research Interests

  • Management Science
  • Operations
  • Industrial Organization
  • Market Design
  • Data Science
  • Online Platforms

Bio

Weintraub is the Amman Mineral Professor of Operations, Information & 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 digital platforms. After obtaining his PhD at Stanford, he spent ten years as faculty at Columbia Business School. 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.” He was part of the Chilean team that received the 2022 Edelman Award (Informs top prize for applied analytics) for using data and analytics to improve response strategies to the COVID-19 pandemic. He has advised and worked with several online platforms.

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

  • The Amman Mineral Professor of Operations, Information & Technology, Stanford Graduate School of Business, 2022–present
  • Professor, Operations, Information & Technology, Stanford Graduate School of Business, 2021–22
  • Associate Professor, Operations, Information & Technology, Stanford Graduate School of Business, 2016–21
  • Associate Professor of Business; Decision, Risk & Operations Division, Columbia Business School; 2015–16
  • Sidney Taurel Associate Professor of Business; Decision, Risk & Operations Division, Columbia Business School; 2013–15
  • Associate Professor; Decision, Risk, & Operations Division, Columbia Business School, 2010–12
  • Assistant Professor; Decision, Risk & Operations Division, Columbia Business School, 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, Outschool, 2022–present
  • Senior Adviser, Betterfly, 2021–present
  • Senior Adviser, Boam, Inc., 2021–present
  • Senior Adviser, Feastfox, 2019–21
  • Advisory Board ad honorem, Start-Up Chile, 2016–21
  • Senior Adviser, Airbnb, 2018–20
  • Senior Adviser, AppNexus, 2018–19
  • Co-Investigator, joint project with Dirección ChileCompra funded by Fondef Chile, 2017–18
  • Chief Economist, AppNexus, 2016–18
  • Market Design Consultant, AppNexus, 2015–16
  • 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, 2011–12

Awards and Honors

  • Edelman Award: part of the Chilean team that received the 2022 Edelman Award (Informs top prize for applied analytics) for using data and analytics to improve response strategies to the COVID19 pandemic, 2022
  • 2nd place at RMP Jeff McGill Student Paper Award, Co-advisor of Hannah Li, 2021
  • Lacob Family Faculty Scholar, 2017–19
  • MSOM Young Scholar Prize, 2015
  • Finalist of the INFORMS George Dantzig Dissertation Award, Co-advisor of Daniela Saban, 2015
  • Second place M&SOM Student Paper Competition with the paper “Procurement Mechanisms for Differentiated Products”, advising Daniela Saban, 2015
  • Finalist INFORMS George Nicholson Student Paper Competition with the paper “Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design”, co-advising Santiago Balseiro, 2014
  • Recipient of the INFORMS George Dantzig Dissertation Award, Co-advisor of Santiago Balseiro, 2014
  • Finalist M&SOM Student Paper Competition with the paper “Structural Estimation of a Large Scale Combinatorial Auction”, co-advising Sang Won Kim, 2012
  • Second Place INFORMS JFIG paper competition for the paper “An Approximate Dynamic Programming Approach to Solving Large Scale Dynamic Oligopoly Models” (with V. Farias, and D. Saure), 2009
  • IFORS (International Federation of Operational Research Societies) Prize for Operations Research in Development, 2002
  • Stanford School of Engineering Fellowship, 2001–02
  • Chilean “Presidential Fellowship” for graduate studies abroad (declined), 2001
  • Best Student Award of the 1999 class of the School of Engineering, University of Chile, 1999
  • Best Teaching Assistant Award, Industrial Engineering Department, University of Chile, 1998
  • Dean’s List, School of Engineering, University of Chile, 1993–99
  • University of Chile School of Engineering Fellowship, 1993

Publications

Journal Articles

Working Papers

Conferences, Talks & Speaking Engagements

Bidders' Responses to Auction Format Change in Internet Display Advertising Auctions

With S. Goke, R. Mastromonaco, and S. Seljan, 2022

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

  • Judge Rothkopf Junior Researcher Paper Prize, 2022
  • Track Chair Applied Modeling, ACM EC 2022 Conference, 2022
  • Chair Recruiting Committee, Stanford GSB OIT 2022
  • Senior Program Committee, Wine 2021
  • 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, ICME, Stanford University, co-advised with Susan Athey (expected graduation 2023)
  • Shumpei Goke, PhD student, Economics Department, Stanford University, primary advisor Brad Larsen. First position: Lyft DS.
  • Hannah Li, PhD 2022, Stanford University, co-advised with Ramesh Johari. First position: Columbia DRO.
  • Je-ok Choi, PhD 2022, ICME, Stanford, co-advised with Daniela Saban (expected graduation 2023)
  • Bar Light, PhD 2021, Operations, Information & Technology, Stanford GSB, co-advised with Ramesh Johari. First position: Post-doc MSR and Tel-Aviv University Stats/OR
  • Francisco Castro, PhD 2019, Decision, Risk and Operations, Columbia Business School, co-advised with Omar Besbes and Ilan Lobel. First position: Post-doc Uber, Assistant Prof. UCLA Anderson
  • Eyal Levy, MSc 2017, Operations Management, University of Chile, co-advised with Marcelo Olivares. First position: Consultant IE University of Chile
  • Daniela Saban, PhD 2015, Decision, Risk and Operations, Columbia Business School, co-advised with Jay Sethuraman. First position: Assistant Prof., Stanford GSB
  • Lijian Lu, PhD 2016, Decision, Risk and Operations, Columbia Business School, co-advised with Awi Federgruen. First position: Goldman Sachs
  • Yonatan Gur, PhD 2014, Decision, Risk and Operations, Columbia Business School, primary advisors Omar Besbes and Assaf Zeevi. First position: Assistant Prof., Stanford GSB
  • Santiago Balseiro, PhD 2013, Decision, Risk and Operations, Columbia Business School, co-advised with Omar Besbes. First position: Assistant Prof., Duke Fuqua Business School
  • Sang Won Kim, PhD 2013, Decision, Risk and Operations, Columbia Business School, co-advised with Marcelo Olivares. First position: Assistant Prof., The Chinese University of Hong Kong
  • Bar Ifrach, PhD 2012, Decision, Risk and Operations, Columbia Business School, co-advised with Costis Maglaras. First position: Post-doc MS&E Stanford University
  • Denis Saure, PhD 2010, Decision, Risk and Operations, Columbia Business School, primary advisor Assaf Zeevi. First position: Assistant Prof. IE Pittsburg University
  • Sachin Adlakha, PhD 2010, Electrical Engineering, Stanford University, primary advisors Andrea Goldsmith and Ramesh Johari. First position: Post-doc Caltech
  • Paul Njoroge, PhD 2010, Laboratory for Information and Decision Systems (LIDS), MIT, primary advisor Asu Ozdaglar. First position: Corporate research Liberty Mutual
  • Daniel Yung, MSc 2009, Operations Management, University of Chile, co-advised with Marcelo Olivares and Rafael Epstein. First position: Consultant IE University of Chile

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