Abhishek Sarkar

I am a Ph.D. student at Massachusetts Institute of Technology. Refer to my CV for more detailed information.


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.

I currently work in the Computational Biology group with Manolis Kellis at the Computer Science and Artificial Intelligence Lab.

I have 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.

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?

Other interests

I have played the piano since age 7 and was awarded Honorable Mention in the 2006 Raleigh Area Piano Teachers' Assocation Young Artist Auditions and MIT Emerson Music Fellowships in 2012 and 2013. I have studied with John Herrmann, Mayron Tsong, Clara Yang, and Timothy McFarland.