Daniela Saban

Associate Professor, Operations, Information & Technology

Daniela Saban

On leave until June 15, 2023.

Associate Professor of Operations, Information & Technology

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

Bio

Daniela Saban is an associate professor of operations, information, and technology at Stanford 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 for 2019–2020
  • 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

Publications

Journal Articles

Working Papers

Academic Publications

Insights by Stanford Business

School News