Emmanuel Candes

Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, and Professor of Electrical Engineering (by courtesy) at Stanford University. Until 2009, he was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. Candès graduated from the Ecole Polytechnique in 1993 with a degree in science and engineering, and received his Ph.D. in Statistics from Stanford University in 1998.

Candès has received many awards over the years. These include the 2006 Alan T. Waterman Award from NSF, which recognizes the achievements of early-career scientists; the George Polya Prize awarded by the Society of Industrial and Applied Mathematics (SIAM) (2010), the Collatz Prize from the International Council for Industrial and Applied Mathematics (2011), the Lagrange Prize in Continuous Optimization from the Mathematical Optimization Society (MOS) and SIAM (2012), the Dannie Heineman Prize presented by the Academy of Sciences at Göttingen (2013), the AMS-SIAM George David Birkhoff Prize in Applied Mathematics (2015), the Prix Pierre Simon de Laplace from the Société Française de Statistique (2016), the Ralph E. Kleinman Prize from SIAM (2017). He was selected as the Wald Memorial Lecturer by the Institute of Mathematical Statistics (2017). Candès is a member of the National Academy of Sciences (elected in 2014) and the American Academy of Arts and Sciences (elected in 2014). In 2017, He received a MacArthur Fellowship popularly known as the ‘genius award’. He received the 2020 Princess of Asturias Award for Technical and Scientific Research. The IEEE Board of Directors selected Candès along with Terence Tao and Justin Romberg to receive the 2021 IEEE Jack S. Kilby Signal Processing Medal.

Candès is Stanford Data Science's founding director, serving from 2018 to March 2025. He is now associate director in charge of Marlowe, Stanford's new GPU-based computational instrument.