Emmanuel Candès

Emmanuel Candès is a Professor of Mathematics and Statistics at Stanford University. He holds the Barnum-Simons Chair in Mathematics and Statistics and is also a Professor of Electrical Engineering by courtesy. His research interests include Applied Math, Probability, Harmonic Analysis, High-Dimensional Statistics, Signal Processing, and Information Theory. Candès can be contacted via email at candes@stanford.edu. His office is located in Building 380, 383-U.

Emmanuel Candes is a prominent figure in applied mathematics and statistics, with research interests spanning signal processing, information theory, and mathematical optimization. His work focuses on developing novel methods for signal reconstruction, matrix completion, and compressive sampling. Candes has made significant contributions to the field of compressed sensing, including the development of robust uncertainty principles and the Dantzig selector. His research has also addressed problems in image denoising, phase retrieval, and sparse signal recovery. His publications often emphasize the use of convex optimization and statistical estimation techniques to solve complex problems in data science and engineering.