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Emmanuel Candès holds the Barnum-Simons Chair in Mathematics and Statistics at Stanford University, where he is also a member of the Institute of Computational and Mathematical Engineering. He previously held the Ronald and Maxine Linde Professorship in Applied Computational Mathematics at the California Institute of Technology. His research focuses on computational harmonic analysis, statistics, information theory, signal processing, and mathematical optimization, particularly in applications to imaging sciences and scientific computing. Candès received his Ph.D. in Statistics from Stanford University in 1998 and has been recognized with several prestigious awards, including the Alan T. Waterman Award from the National Science Foundation and the IEEE Jack S. Kilby Signal Processing Medal. He has delivered over 60 plenary lectures at major international conferences and has been elected to the National Academy of Sciences and the American Academy of Arts and Sciences. His significant contributions to the field include advancements in inverse problems and numerous accolades for his research excellence.
Stanford University • Stanford, California
Professor in Mathematics and Statistics.
California Institute of Technology • Pasadena, California
Held professorship in Applied Computational Mathematics.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.