I am a PhD student in the Department of Statistics at the University of Washington. I am broadly interested in Bayesian Machine Learning and Statistical Modelling Techniques. Currently, I am working with Prof. Adrian Raftery and Prof. Abel Rodriguez to develop Bayesian methods for sparse models. I spent the summer of 2021 as a Biostatistics research intern at Merck Research Laboratories working with Dr. Himel Mallick on an integrated Bayesian framework for multiomics prediction and classification.

Before coming to UW, I worked as an analyst with North American Liability Strategies team in Deutsche Bank. At DB, I advised North American corporate clients on their liability strategies including liability management, capital structure analysis, ratings and pension advisory.

I did my bachelors and masters in Mathematics and Scientific Computing from Indian Institute of Technology Kanpur in 2017 where I was fortunate to work with Prof. Debasis Kundu, Prof. Amit Mitra and Prof. Piyush Rai.

You can find my CV here.