Emmanuel Candes

Emmanuel Candes

Professor of Stanford University in  Mathematics and Statistics

Professor of Stanford University in Electrical Engineering

The Barnum-Simons Chair in Mathematics and Statistics

Winner of the Alfred P. Sloan Research Fellowship

Winner of the James H. Wilkinson Prize, the Vasil A. Popov Prize and the George Pólya Prize

Winner of the the ICIAM Collatz Prize, the Lagrange Prize and the Dannie Heineman Prize


Candès earned a M.Sc. from the École Polytechnique in 1993. He did his postgraduate studies at Stanford, where he earned a Ph.D. in statistics in 1998 under the supervision of David Donoho and immediately joined the Stanford faculty as an assistant professor of statistics. He moved to the California Institute of Technology in 2000, where in 2006 he was named the Ronald and Maxine Linde Professor of Applied and Computational Mathematics. He returned to Stanford in 2009.

Candès’ early research concerned nonlinear approximation theory. In his Ph.D. thesis, he developed generalizations of wavelets called curvelets and ridgelets that were able to capture higher order structures in signals. This work has had significant impact in image processing and multiscale analysis, and earned him the Popov prize in approximation theory in 2001. In 2006, Candès wrote a paper with Terence Tao that kicked off the field of compressed sensing: the recovery of sparse signals from a few carefully constructed, and seemingly random measurements.