Bio

Dan Iancu is an Associate Professor of Operations, Information and Technology at the Stanford Graduate School of Business. A native of Romania, Prof. Iancu holds a B.S. degree in Electrical Engineering and Computer Science from Yale University, an S.M. in Engineering Sciences from Harvard University, and a Ph.D. in Operations Research from MIT. 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. Prof. Iancu's research interests are in responsible analytics and AI and data-driven optimization, with applications in supply chain management, FinTech, and healthcare. His work is aimed both at improving existing methodological tools (e.g., by making them more robust, fair or transparent) and at applying these to design more effective, more equitable, and more sustainable solutions for complex operational problems. His research has been published in Management Science, Operations Research, Manufacturing & Service Operations Management, and Mathematics of Operations Research, and he serves on the editorial board of several of these journals. He was the recipient of several best paper awards (INFORMS Optimization Society 2009, INFORMS JFIG 2013), and of teaching commendations at Harvard, MIT Sloan, and INSEAD.