Philippe Rigollet works at the intersection of statistics, machine learning, and optimization, focusing primarily on the design and analysis of statistical methods for high-dimensional problems. His recent research focuses on statistical optimal transport.

He has received an NSF CAREER award, a Howard B. Wentz Jr. Junior Faculty Award at Princeton and the best paper award at COLT 2013.

He received a PhD in mathematical statistics in under the supervision of Alexandre Tsybakov. He has held positions as a visiting assistant professor at the Georgia Institute of Technology and then as an assistant professor at Princeton University.

He is currently associate editor for Mathematical Statistics and Learning and SIAM Journal on Mathematics of Data Science.