Mohammad Fazel‐Zarandi is a Senior Lecturer at the MIT Sloan School of Management. His research interests are in the areas of data-driven decision making and machine learning, with applications in public policy. His current research focuses on the use of analytics to analyze and improve decision-making in the public policy domain. Some of the topics he studies include immigration policy and fairness in public systems.
Mohammad's research has been published in flagship journals such as Operations Research and Management Science, and has been reported by the Los Angeles Times, the Boston Globe, the New York Times, the Washington Post, Bloomberg, and many other major media outlets.
Before joining MIT, Mohammad was a Postdoctoral Associate and Lecturer at the Yale School of Management. He received his PhD from the Rotman School of Management, University of Toronto in operations management and his MS in industrial engineering, also from the University of Toronto.