Research Areas
Compressive sampling, mathematical signal processing, computational harmonic analysis, multiscale analysis, approximation theory, stastistical estimation and detection. Applications to the imaging sciences, scientific computing, and inverse problems. Other topics of very 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—

Alan T. Waterman Award News Release 04-20-2006

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