Abhishek Sarkar

I am a Ph.D. student at Massachusetts Institute of Technology. I currently work in the Computational Biology group with Manolis Kellis at the Computer Science and Artificial Intelligence Lab.

Research

My main research interests are complex trait genomics, regulatory genomics, and epigenomics. I work on algorithms and statistical methods to elucidate the genetic basis of human disease.

My current work develops efficient Bayesian methods to understand the architecture of common diseases: how many causal genetic variants are there, where in the genome do they reside, and how should we design studies to more rapidly discover them in the population?

Previously, I developed methods to query how genetic variation which does not alter protein-coding sequences contributes to human disease. We integrate epigenomic information from the ENCODE and Roadmap Epigenomics consortia to identify cell-type–specific enhancers enriched for disease associated variants, and additional information about the transcriptional regulatory network to dissect their mechanistic role in psychiatric, metabolic, and autoimmune disorders.

Pre-prints

Peer-reviewed publications

Presentations (selected)

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