Jonathan Niles-Weed chosen as a Sloan Research Fellow
Courant faculty Jonathan Niles-Weed has been elected as a 2022 Research Fellow by the Alfred P. Sloan Foundation. The fellowship honors "early-career scholars who represent the most promising researchers working today."
Jonathan is an Assistant Professor of Mathematics and Data Science at the Courant Institute and the Center for Data Science at NYU, where he is core member of the Math and Data and STAT groups.
His main areas of study are statistics, probability, and the mathematics of data science, with a focus on statistical and computational problems arising from data with geometric structure. Much of his recent work is dedicated to developing a statistical theory of optimal transport.
A full list of the 2022 Sloan Research Fellows can be found on their website.