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—present (on leave); Professor of Mathematics and of Statistics, Stanford University, 2009—

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