Research Areas
Compressive sensing, mathematical signal
processing, computational harmonic analysis,
statistics, scientific computing. Applications to
the imaging sciences and inverse problems. Other
topics of recent interest include theoretical
computer science, mathematical optimization, and
information theory.
Education
Dipl., Ecole Polytechnique; Ph.D., Stanford University, Statistics.
History
Assistant Professor of Statistics, Stanford,
1998—2000; Assistant Professor of Applied
and Computational Mathematics, Caltech,
2000—03; Associate Professor, 2003—05;
Professor, 2005—06; Ronald and Maxine Linde
Professor, 2006—11 (on leave 2009—11);
Professor of Mathematics and of Statistics,
Stanford University, 2009—; BarnumSimons Chair in
Mathematics and Statistics, 2012—.
Alan
T. Waterman Award News Release 04202006
A Wired article about compressed sensing Published 02222010
An NPR story about compressed sensing and MRI Aired 05242010
The Simons
Foundation
and Math
+ X
Posted
02132012

