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Joel Tropp
Joel Aaron Tropp (born July 1977 in Austin, Texas) is Professor of Applied & Computational Mathematics in the Computing and Mathematical Sciences Department at the California Institute of Technology. He is known for work on sparse approximation, numerical linear algebra, and random matrix theory. ==Academic biography== Tropp studied at the University of Texas, where he completed the BS degree in Mathematics and the BA degree in Plan II Honors in 1999 and the MS and PhD degrees in Computational & Applied Mathematics in 2001 and 2004.〔(Joel A. Tropp, ''curriculum vitae'' ). Retrieved August 5, 2014〕 His dissertation was titled ''Topics in Sparse Approximation'', and his advisers were Inderjit S. Dhillon and Anna C. Gilbert.〔(Joel A. Tropp ) at the Mathematics Genealogy Project〕 He taught at the University of Michigan from 2004 to 2007.〔 He has been on the faculty of the California Institute of Technology since 2007.〔(Joel A. Tropp ) at the (Caltech Directory )〕
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