Mohammad Mehdi Fazel-Zarandi

Mohammad Mehdi Fazel-Zarandi is a Senior Lecturer at the MIT Sloan School of Management's Department of Operations Management. His research focuses on applying data-driven decision-making and machine learning to public policy domains, including immigration, criminal justice, and public health. He holds a PhD in Operations Management from the Rotman School of Management (University of Toronto) and an MS in Industrial Engineering from the University of Toronto.

Education:

• PhD in Operations Management, Rotman School of Management, University of Toronto
• MS in Industrial Engineering, University of Toronto

Research Interests: His work addresses policy challenges through analytical frameworks. Key topics include crime analysis in urban settings, immigration policy modeling, and healthcare system optimization. His methodologies blend statistical analysis with operations research tools.

Awards:

• MIT Sloan Teacher of the Year (2024, 2025)
• Outstanding Teacher Award, MIT Sloan School of Management (2023)
• MIT Graduate Teaching Award (2023)
• Best Paper Award (with Arnold Barnett, 2024)

Teaching: Teaches analytics courses to MBA and undergraduate students, focusing on practical applications of quantitative methods. Known for innovative pedagogy recognized through multiple teaching accolades.

Media Impact: Research has been featured in outlets like the New York Times, Washington Post, and Bloomberg, highlighting contributions to public discourse on policy issues.