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Nabarun Deb's research interests include statistical inference under dependent data (time series, networks, etc.), statistical machine learning with emphasis on optimal transport, and nonparametric inference. His research has appeared in statistics, machine learning, and probability venues such as the Journal of the Americal Statistical Association, the Journal of Machine Learning Research, Neural Information Processing Systems, Bernoulli, and the Annals of Applied Probability.

Prior to joining Booth, Nabarun was a PIMS Kantorovich Initiative Postdoctoral Fellow at the University of British Columbia, Vancouver. He received a PhD in statistics from Columbia University. Additionally, he earned a Bachelor of statistics and a Master of Statistics from the Indian Statistical Institute, Kolkata. 

Academic Areas

  • Econometrics and Statistics

2023 - 2024 Course Schedule

Number Course Title Quarter
41000 Business Statistics 2024 (Spring)