Rahul Mazumder
NTU Associate Professor
Operations Research and Statistics group
MIT Sloan School of Management
MIT Center for Statistics and Data Science
Massachusetts Institute of Technology
I am the NTU Associate Professor of Operations Research and Statistics, in the Operations Research and Statistics group at MIT Sloan School of Management. I am affiliated with the Operations Research Center (ORC), Laboratory for Information & Decision Systems (LIDS), MIT Center for Statistics. Outside MIT, I am also an Academic Scholar at LinkedIn AI (Algorithms and Foundations Group).
Before joining MIT, I spent a couple of wonderful years as an Assistant Professor at Columbia University (Dept of Statistics), where I was also affiliated with the Data Science Institute. Prior to Columbia, I was a PostDoctoral Associate at MIT. I completed my PhD in Statistics from Stanford University under the supervision of Trevor Hastie . I completed my BStat, MStat from Indian Statistical Institute, Kolkata.
Service
- I am currently serving as an Associate Editor/Action Editor for the Annals of Statistics, Bernoulli, Operations Research (Optimization; and Machine Learning and Data Science), and Journal of Machine Learning Research.
Research
I am a statistician working at the interface of statistics and operations research (mathematical optimization). I study problems in computational/algorithmic statistics using tools from mathematical optimization (convex and discrete optimization). I am interested in the applications of statistics/OR tools in problems arising in industry (e.g, computational finance, insurance, recommender systems etc), government (US Census Bureau) and the sciences (biostatistics, biomedical sciences). In the past I have worked on applications of statistics in the social sciences, oceanography, and turbulence.Principal Fields of Interest
- Statistics, Machine Learning, Mathematical Optimization (Convex optimization, Mixed Integer optimization), Large Scale Optimization Algorithms.
- High dimensional statistics and sparsity, combinatorial statistical modeling & computation, nonparametric function estimation (e.g., shape constrained inference).
- Applications of the above in recommender systems, computational finance, computational biology & healthcare, survey research, insurance pricing, etc. Neural Network Compression/Pruning, conditional computing in neural networks.
I gratefully acknowledge research support from the National Science Foundation, Office of Naval Research (including a Young Investigator Award), IBM, Liberty Mutual Insurance, Google Research, and MIT (JFRAP, RSC).
A list of publications can also be found at: Google Scholar and ArXiv
Contact Information
MIT Sloan School of Management
Building E62-583
100 Main Street
Cambridge, MA 02142
Ph: 617-253-2652
Email: rahulmaz "at" mit "dot" edu
Support Staff: Please see Sloan Website