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Research Areas
Compressive sensing, mathematical signal
processing, computational harmonic analysis,
multiscale analysis, scientific computing,
stastistical estimation and detection,
high-dimensional statistics. 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—; Simons Chair in
Mathematics and Statistics, 2012—.
Alan
T. Waterman Award News Release 04-20-2006
A Wired article about compressed sensing Published 02-22-2010
An NPR story about compressed sensing and MRI Aired 05-24-2010
The Simons
Foundation
and Math
+ X
Posted
02-13-2012
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