Jonathan Niles-Weed is an Assistant Professor of Mathematics and Data Science at
New York University. His research focuses on the mathematics of data science and
applications of optimal transport in statistics, probability, and machine
learning. He completed his Ph.D. at the Massachusetts Institute of Technology in
2019 and is the recipient of a 2022 Sloan Fellowship and the 2023 Tweedie New
Researcher Award from the Institute for Mathematical Statistics.