Sumanta Basu

Sumanta Basu is an associate professor of statistics and data science. He is broadly interested in developing statistical machine learning methods for structure learning and prediction of complex, high-dimensional systems arising in biological and social sciences. He is currently working in two areas: (1) network modeling of high-dimensional time series; and (2) detecting high-order interactions in complex biological systems using randomized tree ensembles. He also works closely with scientists and economists on a wide range of problems including prostate cancer progression, large scale metabolomics, and systemic risk monitoring in financial markets.

Before joining Cornell, he was a postdoctoral scholar in the Department of Statistics at UC Berkeley, and the Biosciences Division at Lawrence Berkeley National Laboratory from 2014-2016. He received a Ph.D. in statistics from the University of Michigan in 2014 and his bachelor’s and master’s degrees in statistics from Indian Statistical Institute, Kolkata, in 2006 and 2008, respectively. Before pursuing a Ph.D., he worked for a year as a business analyst at Wipro Technologies.