Emmanuel Jean Candès is a professor of mathematics, statistics, and electrical engineering at Stanford University, where he is also the Barnum-Simons Chair in Mathematics and Statistics.
Education
He did his graduate studies at Stanford, where he earned a Doctor of Philosophy in statistics in 1998 under the supervision of David Donoho and immediately joined the Stanford faculty as an assistant professor of statistics. In his Doctor of Philosophy thesis, he developed generalizations of wavelets called curvelets and ridgelets that were able to capture higher order structures in signals.
Career
Candès earned a Master of Science from the École Polytechnique in 1993. 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.
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.
Many researchers have since contributed to this field, which has brought us the idea of a camera that can record pictures while needing only one sensor, and tools for designing distributed sensors that can communicate cheaply.
Membership
National Academy of Sciences.