Speaker: Emmanuel Candes
The Barnum-Simons Chair in Mathematics and Statistics at Stanford
About the Speaker: The 2008 Information Theory Society Paper Award recipient, Emmanuel Candes, received his B.Sc. degree from the Ecole Polytechnique (France) in 1993, and Ph.D. degree in Statistics from Stanford University in 1998. He was a Roland and Maxine Linde Professor of Applied and Computational Mathematics at Caltech. Prior to joining Caltech, he was an Assistant Professor of Statistics at Stanford University, 1998—2000. His research interests are in computational harmonic analysis, multiscale analysis, approximation theory, statistical estimation and detection with applications to the imaging sciences, signal processing, scientific computing, inverse problems, as well as, theoretical computer science, mathematical optimization, and information theory.
Dr. Candes received the Third Popov Prize in Approximation Theory and was selected as an Alfred P. Sloan Research Fellow in 2001. He received the DOE Young Investigator Award in 2002, and co-authored a paper that won the Best Paper Award of the European Association for Signal, Speech and Image Processing (EURASIP) in 2003. In 2005, he was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing by SIAM, and in 2006, he won the Alan T. Waterman Award, NSF’s highest honor. Currently he is the Barnum-Simons Chair in Mathematics and Statistics at Stanford University.
For more information about the speaker, please visit: https://statweb.stanford.edu/~candes/
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