Faculty
Mohammad Fazel‐Zarandi is a Senior Lecturer at the MIT Sloan School of Management.
His research interests are in the areas of public sector operations, data-driven decision making, statistical learning, and applied probabilistic modeling and statistics.
His current research focuses on the use of operations techniques to 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 reported by the Los Angeles Times, The Boston Globe, The New York Times, 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.
Fazel-Zarandi, Mohammad, and Edward H. Kaplan. Operations Reseach. Forthcoming.
Fazel-Zarandi, Mohammad, Edward H. Kaplan, and Jonathan S. Feinstein. PLOS ONE. Forthcoming.
Berman, Oded, Mohammad Fazel-Zarandi, and Dmitry Krass. Management Science. Forthcoming.
Fazel-Zarandi, Mohammad, Oded Berman, and J. Christopher Beck. IIE Transactions Vol. 45, No. 8 (2012): 896-911.
Fazel-Zarandi, Mohammad, and J. Christopher Beck. INFORMS Journal on Computing Vol. 24, No. 3 (2012): 387-398.
Use this framework to limit operational damage and monetary losses.
New research shows the population could have been mismeasured for decades.
Source: The Hill