"It is our choices, Harry, that show what we truly are, far more than our abilities."
Albus DumbledoreHarry Potter and the Chamber of Secrets
I am a research associate at Harvard University T. H. Chan School of Public Health, Department of Biostatistics, working with Prof. John Quackenbush. My research interests primarily include Bayesian Statistics and its applications for Gene Regulatory Network inference to understand cancer.
Before joining Harvard, I obtained my PhD from the University of Chicago, Department of Statistics in June, 2021. My dissertation titled "Flexible Bayesian Methods for High Dimensional Data" lies at the intersection of Bayesian Statistics and Machine Learning. For a broader overview of my research interests, see here.
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.