Daniela Saban

Daniela Saban
Assistant Professor, Operations, Information & Technology
Contact Info
Winnick Family Faculty Scholar for 2019-2020

Research Statement

Professor Saban's research interests lie in the interface of operations, economics and computer science. Much of her current research focuses on decision-making in competitive environments. In particular, she uses techniques from game theory, applied probability and optimization to study how the strategic interactions between multiple agents can impact firms, governments, and individuals.

Research Interests

  • Supply Chain Management
  • Procurement Mechanisms
  • Resource Allocation
  • Market Design


Daniela Saban is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. She received her PhD in Operations Management from Columbia Business School in 2015. Professor Saban also holds B.Sc. (2006) and M.Sc. (2009) degrees in Computer Science from University of Buenos Aires.

Academic Degrees

  • PhD, Operations Management, Graduate School of Business, Columbia University, 2015
  • MS, Computer Science, Universidad de Buenos Aires, 2009
  • BS, Computer Science, Universidad de Buenos Aires, 2006

Awards and Honors

  • Winnick Family Faculty Scholar, 2018-2019
  • The Paul and Sandra Montrone Doctoral Fellowship, 2014 - 2015
  • Columbia University - Glasgow University Exchange Program Fellowship, 2014
  • Deming Doctoral Research Fellowship, The W. Edwards Deming Center, 2013
  • Doctoral Fellowship, Columbia Business School, 2010 - 2015
  • Research Fellowship, Agencia Nacional de Promocion Cientifica y Tecnologica (equivalent to NSF), Argentina, 2009 - 2010
  • Tesis de Licenciatura (MSc. Thesis): Finalist in the National Thesis Contest, organized as part of the Jornadas Argentinas de Informatica, 2009


Journal Articles

Kostas Bimpikis, Ozan Candogan, Daniela Saban. Operations Research. May 3, 2019, Vol. 67, Issue 3, Pages 599-904.
Yonatan Gur, Daniela Saban, Nicolas Stier-Moses. Operations Research. August 2018, Vol. 66, Issue 4, Pages 1058-1067.
Yash Kanoria, Daniela Saban, Jay Sethuraman. Operations Research. May 2018, Vol. 66, Issue 3.
Daniela Saban, Jay Sethuraman. Mathematics of Operations Research. June 17, 2015, Vol. 40, Issue 4, Pages 1005-1014.
Daniela Saban, Jay Sethuraman. Journal of Mathematical Economics. January 2014, Vol. 50, Pages 283-289.
Flavia Bonomo, Andres Cardemil, Guillermo Duran, Javier Marenco, Daniela Saban. Interfaces. May 16, 2012, Vol. 42, Issue 3, Pages 245-259.
Daniela Saban, Flavia Bonomo, Nicolas E. Stier-Moses. Physica A: Statistical Mechanics and its Applications. September 2010, Vol. 389, Issue 17, Pages 3661-3673.
Daniela Saban, Flavia Bonomo, Javier Marenco, Nicolas Stier-Moses. Electronic Notes in Discrete Mathematics. December 1, 2009, Vol. 35, Pages 197-202.

Working Papers

Procurement Mechanisms for Differentiated Products | PDF
Daniela Saban, Gabriel Weintraub, August 132019
Sequential Procurement with Contractual and Experimental Learning
Yonatan Gur, Gregory Macnamara, Daniela Saban2019
Optimal Commissions and Subscriptions in Networked Markets | PDF
John R. Birge, Ozan Candogan, Hongfan Chen, Daniela Saban, September 302018
Increased Transparency in Procurement: The Role of Peer-Effects | PDF
Ruth Beer, Ignacio Rios, Daniela Saban, August 2018
The Size of the Core in Assignment Markets | PDF
Yash Kanoria, Daniela Saban, Jay Sethuraman, September 2016


Degree Courses


This class will explore topics the intersection of operations, engineering, and economics relevant to modern internet marketplaces, including those for dating, labor, accommodation, services, and rides. The objective of the class is to introduce...


This course provides basic skills in quantitative modeling. The objective is to familiarize students with the main steps in an analytical approach to business decision making: constructing an abstract model for a relevant business problem,...

School News

October 6, 2015
New faculty and lecturers offer unique perspectives and experience to augment program offerings.