I am a graduate student at MIT in my fifth and final year, affiliated with the Department of Mathematics and the Institute for Data, Systems, and Society. My research focuses on designing and analyzing robust procedures for learning from noisy information, especially when the underlying data has geometric structure. Recently, I have been particularly interested in statistical aspects of optimal transport.

Email: jweed [at] mit [dot] edu

I am generously supported by the Josephine de Karman Fellowship. Previously, I was a recipient of an NSF Graduate Research Fellowship and an MIT Presidential Fellowship. My advisor is Philippe Rigollet.

Fast Facts:
  • Princeton 2009, A.B. Mathematics, magna cum laude
  • Other interests: linguistics, LGBT issues, 中文 (Mandarin Chinese)

Photo courtesy Mathematisches Forschungsinstitut Oberwolfach