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Nabarun Deb is an Assistant Professor specializing in Econometrics and Statistics at Chicago Booth, University of Chicago. He completed his Ph.D. in Statistics at Columbia University, where he studied under the joint supervision of Professors Bodhisattva Sen and Sumit Mukherjee. His research interests include nonparametric inference, optimal transport, generative modeling, and causal inference with a particular focus on dependent data structures such as network models and time series. Before his tenure at Chicago Booth, Deb was a PIMS Kantorovich Initiative Postdoctoral Fellow at the University of British Columbia, where he collaborated with Professors Young-Heon Kim, Soumik Pal, and Geoffrey Schiebinger. He earned his Bachelor's and Master's degrees in Statistics from the Indian Statistical Institute, Kolkata. Deb’s academic journey reflects his deep engagement with modern statistical methods and their applications, underscoring his commitment to advancing the field of Econometrics and Statistics.
Chicago Booth, University of Chicago • Chicago, IL
Teaching and conducting research in econometrics and statistics.
University of British Columbia • Vancouver
Involved in research collaboration and advanced studies.
Department of Philosophy