Dan Iancu

Dan Iancu
  • Visiting Associate Professor

Contact Information

  • office Address:

    3730 Walnut Street
    552 Jon M. Huntsman Hall
    Philadelphia, PA 19104

Research Interests: dynamic optimization under uncertainty, dynamic pricing & revenue management, operations/finance interface, risk, supply chain management

Links: CV, Personal Website

Overview

Dan Iancu is an Associate Professor of Operations, Information and Technology at the Stanford Graduate School of Business (on leave at The Wharton School for the 2016-2017 academic year).
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.

 

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Research

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.

Teaching

OIDD 612 Business Analytics (Flipped Format) – Q3

OIDD 321 Introduction to Management Science – Spring 2017.

Past Courses

  • OIDD6120 - Business Analytics

    "Managing the Productive Core: Business Analytics" is a course on business analytics tools and their application to management problems. Its main topics are optimization, decision making under uncertainty, and simulation. The emphasis is on business analytics tools that are widely used in diverse industries and functional areas, including operations, finance, accounting, and marketing.

In the News

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In the News

How Forced Labor Scrutiny Shapes Supply Chain Transparency

A study co-authored by Wharton’s Sandra Schafhäutle examines why companies choose to hide their names in public shipping data.…Read More

Knowledge @ Wharton - 2026/06/23
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