Research

Markov chain Monte Carlo (MCMC) methods have become an indispensable tool in modern-day computations, and is the de-facto technique used in most modern Bayesian analyses. My PhD research primarily focuses on the development, assessment, and applications of Bayesian statistical methods using MCMC techniques. I have been working with my advisors Dr. Kshitij Khare and Dr. Samuel W.K. Wong for the past two and a half years on my PhD dissertation that comprises of projects dealing with different theoretical and computational aspects of MCMC techniques. Alongside my dissertation, I have worked on  a few collaborative interdisciplinary research projects and on the development of a computational software (R package). I am interested in developing theory and methods and applying them in problems that arise from various real world applications in diverse scientific disciplines including biology, economics and the social sciences. Please see Publications for a publication list.