I am an Associate Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science at NYU. More information about my background is available in this brief bio.

I study statistics, probability, and the mathematics of data science. Much of my work has focused on the statistical theory of optimal transport.

More recently, I have become interested in the mathematical foundations of AI safety.

I received my Ph.D. in Mathematics and Statistics from MIT, under the supervision of Philippe Rigollet. My research has been supported by Apple, Google, the National Science Foundation, and the Sloan Foundation.

If you are interested in working with me, please apply to the graduate program in data science or mathematics and mention my name in your application. Unfortunately, I cannot respond to inquiries from students who have not yet been admitted to NYU.

I also receive many requests from undergraduate and master’s students about research supervision, independent studies, and theses. I typically do not have the bandwidth to take on additional students at these levels, and I am not able to respond to these inquiries individually. Please do not take a lack of reply personally.

Contact

Office: Warren Weaver Hall #1111, Center for Data Science #614
Pronouns: he/him/his

Photo credit: Dan Komoda/Institute for Advanced Study