Jonathan Niles-Weed
Scholar

Jonathan Niles-Weed

Google Scholar ID: 5Vls5NAAAAAJ
New York University
statisticsprobabilitymathematics of data scienceoptimal transport
Citations & Impact
All-time
Citations
4,730
 
H-index
32
 
i10-index
51
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Background
  • Associate Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science, New York University
  • Core member of the Math and Data and STAT groups
  • Research focuses on statistics, probability, and the mathematics of data science
  • Specializes in statistical and computational problems arising from data with geometric structure
  • Recent work centers on developing a statistical theory of optimal transport