Courant Institute of Mathematical Sciences and Center for Data Science, New York University
I am an Assistant Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science at NYU, where I am a core member of the Math and Data and STAT groups. More information about my background is available in this brief bio.
I study statistics, probability, and the mathematics of data science, with a focus on statistical and computational problems arising from data with geometric structure. Much of my recent work is dedicated to developing a statistical theory of optimal transport.
I received my Ph.D. in Mathematics and Statistics from MIT, under the supervision of Philippe Rigollet. My research is supported in part by the National Science Foundation, Google Research, and an Alfred P. Sloan Foundation fellowship.
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.
Office: Warren Weaver Hall #1111, Center for Data Science #620
Photo credit: Dan Komoda/Institute for Advanced Study