Sumanta Basu

I am broadly interested in developing statistical machine learning methods for structure learning and prediction of complex, high-dimensional systems arising in biological and social sciences. I am currently working in two areas: (a) network modeling of high-dimensional time series; and (b) detecting high-order interactions in complex biological systems using randomized tree ensembles. I also work 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.

My research has been supported by an NSF CAREER award (DMS-2239102), two three-year grants from the National Science Foundation (NSF DMS-1812128, DMS-2210675), a four-year grant (NIH R01GM135926) from Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences, and a two-year grant (NIH R21NS120227) from the National Institute of Health.

Before joining Cornell, I was a postdoctoral scholar (2014-2016) in the Department of Statistics, UC Berkeley and the Biosciences Division, Lawrence Berkeley National Laboratory . I received my PhD (2014) from the Department of Statistics, University of Michigan , and my bachelors (2006) and masters (2008) in Statistics from Indian Statistical Institute, Kolkata . Before joining the PhD program, I worked for a year as a business analyst at Wipro Technologies .

Contact

Sumanta Basu
1186 Comstock Hall
Cornell University
Ithaca, NY 14853
Phone: (607) 255-9813
email: sumbose@cornell.edu