About Me
I am an Assistant Professor of Biostatistics at the University of South Carolina Arnold School of Public Health. My research lies at the intersection of Bayesian statistics, Machine Learning and Computational Biology, with a particular focus on building computational tools for uncovering individual-specific variability in the molecular mechanisms of complex human traits and diseases, such as aging and cancer.
I was recently nominated by the National Academy of Medicine for the 2025 Richard and Hinda Rosenthal Emerging Leaders in Health and Medicine forum.
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.
