About Me

I am a second-year Ph.D. student in the Department of Statistical Science at Duke University, with a strong research focus on Bayesian statistics. Currently I am exploring topics on Bayesian Optimization with Prof. Simon Mak and Bayesian Clustering with Prof. Amy Herring.

During my master's at IIT Kanpur, I worked with Prof. Arnab Hazra to develope a semiparametric generalized exponential (GE) regression model with penalized complexity priors for capturing long-term precipitation trends in the Western Ghats. With Prof. Dootika Vats, I explored the use of Kernel Stein Discrepancy (KSD) for diagnosing convergence in MCMC algorithms, playing with a Stein-thinning approach to reduce computational burden and adapting it for biased samplers.

I also collaborate with the Centre for Quantitative Medicine under the supervision of Prof. Bibhas Chakraborty. I worked on a project to derive sample size formulas for Sequential Multiple Assignment Randomized Trials (SMART) in the presence of skewed outcomes. Currently I am working on Q-learning for estimating dynamic treatment regimes from survival data.