Philippe Rigollet
Scholar

Philippe Rigollet

Google Scholar ID: 3Ir65ZkAAAAJ
Massachusetts Institute of Technology
StatisticsMachine LearningOptimal Transport
Citations & Impact
All-time
Citations
6,192
 
H-index
43
 
i10-index
66
 
Publications
20
 
Co-authors
45
list available
Resume (English only)
Academic Achievements
  • Invited Speaker at International Congress of Mathematicians 2026; Frank E. Perkins Award 2023; Medallion lecture at Joint Statistical Meetings 2021; Elected IMS Fellow 2021; Best Paper Award at Conference On Learning Theory (COLT) 2013; NSF CAREER Award 2011.
Research Experience
  • Professor at MIT, Mathematics, 2020 - present; Associate Professor at MIT, Mathematics, 2016 - 2020; Assistant Professor at MIT, Mathematics, 2015 - 16; Assistant Professor at Princeton, ORFE, 2008 - 14; Postdoc at Georgia Tech, Mathematics, 2007 - 08.
Education
  • Ph.D. in Mathematics from Univ. of Paris 6 (now Sorbonne Univ.) - 2006; M. Sc. in Statistics & Actuarial Science from ISUP - 2003; B. Sc. in Applied Mathematics from Univ. of Paris 6 (now Sorbonne Univ.) - 2002.
Background
  • Cecil and Ida Green Distinguished Professor of Mathematics. His research interests span a wide range of mathematical topics, particularly those emerging from the fields of statistics, data science, and artificial intelligence. Currently, he focuses on statistical optimal transport and the mathematical foundations of Transformers.
Miscellany
  • Involved in research on Transformers and self-attention dynamics; Explored applications of Wasserstein gradient flows; Investigated novel mathematical ideas for biological data, including genomics data.