Sumanta Basu

About

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