Professor Iancu's research provides new tools for understanding and computing decisions in complex operational settings. The models that he examines are particularly well suited for problems involving a high degree of uncertainty and risk, where multiple actions must be taken with incomplete and unreliable information, in rapidly changing environments. He is also deeply interested in the development of analytical support tools that make use of technology and computational resources to aid decision processes. Applications include multi-echelon supply chain management, dynamic pricing for multiple products, and multi-account portfolio rebalancing.

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.