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.


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.


Peer-reviewed publications

Presentations (selected)