Dan Andrei Iancu
Associate Professor, Operations, Information & Technology
Contact Info
DanA.Iancu
Associate Professor of Operations, Information & Technology

Research Statement

Professor Iancu's research is focused on problems at the interface of finance and operations, typically involving high degrees of risk and uncertainty. Specific application areas include supply chain management, revenue management, supply chain financing, and financial engineering.

Research Interests

  • Problems at the interface of finance and operations
  • Supply chain management
  • Revenue management
  • Dynamic optimization; risk and uncertainty

Bio

Dan Iancu is an Associate Professor of Operations, Information and Technology at the Stanford Graduate School of Business. A native of Romania, Professor Iancu holds a BS degree in Electrical Engineering and Computer Science from Yale University (2004), an SM in Engineering Sciences from Harvard University (2006), and a PhD in Operations Research from the Sloan School of Management at MIT (2010). He was the recipient of several best paper awards (INFORMS JFIG 2013, INFORMS Optimization Society 2009), and of teaching prizes at Harvard and MIT Sloan. Prior to joining Stanford, he spent one year as a Goldstine Fellow in the Risk Analytics Group at the IBM T.J. Watson Research Center.

Academic Degrees

  • PhD in Operations Research, Massachusetts Institute of Technology, 2010
  • SM in Engineering Sciences, Harvard University, 2006
  • BS in Electrical Engineering and Computer Science,Yale University, 2004

Professional Experience

  • Goldstine Fellow, Business Analytics and Math Sciences, IBM, 2010-2011
  • Quantitative Summer Associate, Barclays Capital, 2008
  • Summer Associate, Riversource Investments LLC, 2007

Awards and Honors

  • Fletcher Jones Faculty Scholar for 2015-2016
  • Finalist for the INFORMS Pierskalla Best Paper Award (2014)
  • Louise & Claude N. Rosenberg Jr. Faculty Scholar, Stanford GSB, 2013-2014
  • INFORMS JFIG Best Paper Award, 2013
  • Herman Goldstine Fellowship, IBM T.J. Watson Research Center, 2010
  • Outstanding Teaching Assistant Award, MIT Sloan, 2010
  • INFORMS Optimization Society Best Student Paper, 2009

Publications

Journal Articles

Dan A. Iancu, Nikolaos Trichakis, Gerry Tsoukalas. Management Science. April 25, 2017, Vol. 63, Issue 6, Pages 1730-1761.
Diana Negoescu, Kostas Bimpikis, Margaret Brandeau, Dan A. Iancu. Management Science. 2017.
Omar Besbes, Dan A. Iancu, Nikolaos Trichakis. Forthcoming in Management Science. 2017.
Erjie Ang, Dan A. Iancu, Robert Swinney. Management Science. 2016.
Dan A. Iancu, Nikolaos Trichakis. Operations Research - forthcoming. 2014.
Dan A. Iancu, Nikolaos Trichakis. Management Science. 2014, Vol. 60, Issue 4, Pages 130-147.
Dan A. Iancu, Marek Petrik, Dharmashankar Subramanian. Mathematics of Operations Research - forthcoming. 2014.
Dan A. Iancu, Mayank Sharma, Maxim Sviridenko. Operations Research. July 2013, Vol. 61, Issue 4, Pages 941-956.
Dan A. Iancu, Dimitris Bertsimas, Dmitriy Katz. INFORMS Journal on Computing. 2013, Vol. 25, Issue 2, Pages 208-221.
Dan A. Iancu, Dimitris Bertsimas, Pablo Parrilo. IEEE Transactions on Automatic Control. December 2011, Vol. 56, Issue 12, Pages 2809-2824.
Dan A. Iancu, Dimitris Bertsimas, Pablo Parrilo. Mathematics of Operations Research. May 2010, Vol. 35, Issue 2, Pages 363-394.

Working Papers

Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases | PDF
Dan A. Iancu, Kostas Bimpikis, Diana Negoescu, Margaret Brandeau, September 152014
Disruption Risk and Optimal Sourcing in Multi-tier Supply Networks | PDF
Dan A. Iancu, Erjie Ang, Robert Swinney2014
Operationalizing Financial Covenants
Dan A. Iancu, Nikolaos Trichakis, Gerry Tsoukalas2014

Teaching

Degree Courses

2017-18

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,...

2015-16

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,...

Stanford University Affiliations

Greater Stanford University

Insights by Stanford Business

April 15, 2015
A Stanford scholar examines how to juggle needs of diverse clients amid uncertainty.