Ashwin Narayan


I am currently a fifth-year graduate student in the mathematics department at MIT. I work with Bonnie Berger at the intersection of mathematics and biology. My goal is to develop algorithms to gain insight from high-dimensional biological datasets.

For the 2020 election, I took a leave of absence from MIT to work at the voter-education startup BallotReady as an Analytics Engineer, connecting customers to user data pipelines for get-out-the-vote efforts

Before coming to MIT, I was an undergraduate math and physics major at Williams College. I wrote my undergraduate thesis with Bill Wootters in theoretical physics.

Playing in the snow

Current Interests

Right now, my main focus is on dimensionality reduction of high-dimensional datasets. Biologically, I have primarily been working with single-cell RNA-sequencing datasets.

Recently, I have also been interested in science policy related to machine learning, especially examining its impact in the social sciences and on privacy.

Publications/Talks/Preprints

Unless otherwise noted, authorship order follows the computational biology convention where order indicates level of contribution.

(*) Authors contributed equally to the work

Contact

Reach me via email at [first name][last initial] AT mit DOT edu