Rahul Mazumder

Rahul Mazumder is the Nanyang Technological University Associate Professor of Operations Research and Statistics in the MIT Sloan School of Management. He is also an associate professor affiliated with MIT’s Operations Research Center (ORC), Center for Statistics and Data Science, and the Laboratory for Information & Decision Systems (LIDS)

His research interests are in statistical machine learning, large scale mathematical optimization; and their applications in recommender systems, computational biology, computational social science and finance. Before joining MIT, Mazumder was an assistant professor at Columbia University. He earned a PhD in statistics from Stanford University.

Publications

• Makni, M., Behdin, K., Afriat, G., Xu, Z., Vassilvitskii, S., Ponomareva, N., Hazimeh, H., & Mazumder, R. (2025). SPARTA: An optimization framework for differentially private sparse fine-tuning. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
• Liu, B., & Mazumder, R. (2025). MOSS: Multi-Objective Optimization for Stable Rule Sets. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) (pp. 1753–1764).
• Wang, H., Ibrahim, S., & Mazumder, R. (2025). Nonparametric finite mixture models with possible shape constraints: A cubic Newton approach. SIAM Journal on Mathematics of Data Science, 7(1), 163–188.

Media

• March 8, 2024: MIT Sloan, Mazumder wins 2024 Leo Breiman Junior Award
• February 23, 2024: MIT Sloan, Mazumder wins early career award
• May 3, 2024: AISTATS, Student Paper Highlight Award