About Me
I am an Assistant Professor of Biostatistics at the University of South Carolina Arnold School of Public Health. My research focuses on Bayesian statistics, Machine Learning and Computational Biology. I build scalable models to understand the genetics of aging and cancer. Specifically, my research aims to understand the molecular mechanisms driving heterogeneity in the clinical presentations of aging and adult cancers, across individuals of diverse backgrounds, using multi-omic networks.
Before joining UofSC, I was a postdoctoral research associate at the Harvard T. H. Chan School of Public Health, Department of Biostatistics, supervised by Dr. John Quackenbush. I obtained my PhD from the University of Chicago, Department of Statistics in June, 2021. My dissertation was titled "Flexible Bayesian Methods for High Dimensional Data".
Between June - August, 2020 I was a National Science Foundation Mathematical Sciences Graduate Intern at Argonne National Laboratory. Before joining the University of Chicago, I completed my Bachelor's (BStat) and Master's (MStat) degree, in Statistics from the Indian Statistical Institute, Kolkata.
Know more about my research here
Contact: esaha@mailbox.sc.edu
My PhD Genealogy Tree, courtesy the Mathematics Genealogy Project.
