Sumanta Basu
Assistant Professor, Computational Biology

Sumanta Basu is broadly interested in structure learning and prediction of complex, high-dimensional systems arising in biological and social sciences. His current research focuses on network modeling of high-dimensional time series and nonlinear ensemble learning methods.
Sumanta joined BSCB in July 2016 as an Assistant Professor. Before coming to Cornell, he completed his postdoctoral training at UC Berkeley Statistics and LBNL, and his PhD in Statistics at University of Michigan.
Courses Taught
- BTRY 4950: Statistical Consulting
- BTRY 7950: Statistical Consulting
- STSCI 4950: Statistical Consulting
- BTRY 6010: Statistical Methods I
- BTRY 6010: Statistical Methods I
- BTRY 6010: Statistical Methods I
- BTRY 6010: Statistical Methods I
- BTRY 6010: Statistical Methods I
- ILRST 6100: Statistical Methods I
- ILRST 6100: Statistical Methods I
- ILRST 6100: Statistical Methods I
- ILRST 6100: Statistical Methods I
- ILRST 6100: Statistical Methods I
Sumanta in the news

Spotlight
“Statistics is unique; it’s like a language of science,” says Sumanta Basu, Statistics and Data Science/Computational Biology. “It gives researchers a rigorous framework to clearly present the logic behind their algorithms and analyses, as well...
- Computational Biology
- Statistics and Data Science
- Molecular Biology and Genetics