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Dan Andrei Iancu

Dan Andrei Iancu
Assistant Professor, Operations, Information & Technology
DanAndreiIancu
Assistant Professor of Operations, Information and Technology
Louise & Claude N. Rosenberg Jr. Faculty Scholar for 2013-2014
Academic Area: 
Operations, Information & Technology

Research Statement

Professor Iancu's research is focused on problems at the interface of finance and operations that typically involve taking actions in rapidly changing environments, under high degrees of risk and uncertainty. His work deals with both the development of innovative algorithms and analytical support tools, as well as with understanding how these interact with business decision making. Specific applications include multiaccount portfolio optimization, strategic and tactical supply chain management, and dynamic pricing.

Bio

Dan Iancu is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. Prior to joining the faculty at the Graduate School of Business, he spent one year as a Goldstine Fellow in the Risk Analytics Group at the IBM T.J. Watson Research Center. 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 the Massachusetts Institute of Technology (2010). He was the recipient of the Best Student Paper Prize of the INFORMS Optimization Society (2009), and of two teaching prizes, at Harvard and at MIT Sloan.

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

Academic Appointments

  • Goldstine Fellow, Business Analytics and Mathematical Sciences Group, IBM T.J. Watson Research Center, 2010-2011

Professional Experience

  • Quantitative Summer Associate, Barclays Capital, 2008
  • Summer Associate, Riversource Investments LLC, 2007

Awards and Honors

  • Herman Goldstine Postdoctoral Fellowship, IBM T.J. Watson Research Center, 2010
  • Outstanding Teaching Assistant Award, MIT Sloan School of Management, 2010
  • INFORMS Optimization Society Best Student Paper, INFORMS, 2009

Courses Taught

Degree Courses

2013-14

GSBGEN 199: Curricular Practical Training for PhD Students

GSB students are eligible to report on work experience that is relevant to their core studies under the direction of the Director of the PhD Program. Registration for this work must be approved by the Director of the PhD Program and is limited to...

OIT 245: Optimization and Simulation Modeling

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,...

2012-13

OIT 245: Optimization and Simulation Modeling

This course provides basic skills in quantitative modeling. The emphasis is on constructing abstractions of real-world processes, and using the tools of optimization, Monte Carlo simulation and sensitivity analysis to generate and interpret...

2011-12

OIT 247: Modeling for Quantitative Analysis - Accelerated

The course is similar in content and emphasis to OIT 245, but is aimed at students who already have background or demonstrated aptitude for quantitative analysis, and thus are comfortable with a more rapid coverage of the topics, in more depth...

Stanford University Affiliations

Greater Stanford University