Bio | Emmanuel Candes received his B. Sc. degree from the Ecole
Polytechnique (France) in 1993, and the Ph.D. degree in statistics
from Stanford University in 1998. He is the Ronald and Maxine Linde
Professor of Applied and Computational Mathematics at the California
Institute of Technology. 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. Other topics of interest
include theoretical computer science, mathematical optimization, and
information theory.
Dr. Candes received the Third Popov Prize in Approximation Theory in
2001, and the DOE Young Investigator Award in 2002. He was selected as
an Alfred P. Sloan Research Fellow in 2001. He co-authored a paper
that won the Best Paper Award of the European Association for Signal,
Speech and Image Processing (EURASIP) in 2003. He was selected as the
main lecturer at the NSF-sponsored 29th Annual Spring Lecture Series
in the Mathematical Sciences in 2004 and as the Aziz Lecturer in 2007.
He has also given plenary and keynote addresses at major international
conferences including ICIAM 2007 and ICIP 2007. In 2005, he was
awarded the James H. Wilkinson Prize in Numerical Analysis and
Scientific Computing by SIAM. Finally, he is the recipient of the 2006
Alan T. Waterman Medal awarded by the US National Science Foundation |