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 between June, 2021-July, 2024. 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". Before joining the University of Chicago, I completed my Bachelor's (BStat) and Master's (MStat) degree, in Statistics from the Indian Statistical Institute.
Know more about my research here
Contact: esaha@mailbox.sc.edu
My PhD Genealogy Tree, courtesy the Mathematics Genealogy Project.
