Emmanuel Candès is a prominent mathematician known for his contributions in the fields of applied and computational mathematics, particularly in areas such as compressed sensing, mathematical signal processing, and statistical estimation. He has made significant advancements in developing theoretical frameworks and algorithms that allow for the efficient recovery of signals and images from incomplete or noisy data. Candès holds a faculty position at Stanford University and has received numerous awards for his work, including the MacArthur Fellowship and various best paper awards.
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