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Stephen Wright is a faculty member and Department Chair at the University of Wisconsin-Madison, specializing in computational optimization and its applications within data science and engineering. He joined UW-Madison in 2001 after a successful tenure as a senior computer scientist at Argonne National Laboratory from 1990 to 2001, and previously held a professorship in computer science at the University of Chicago. Wright is a prolific author and coauthor of several widely used texts and reference books on optimization, including 'Primal Dual Interior-Point Methods' and 'Numerical Optimization.' His research has significantly contributed to the fields of optimization theory, algorithms, and software applications, notably in linear quadratic programming and compressed sensing. He has served as editor-in-chief for prestigious journals, held various editorial positions, and received numerous awards, including the George B. Dantzig Prize and recognition from the National Academy of Engineering. Wright continues to teach and guide research in optimization, with interests extending into machine learning, as well as serving in leadership roles within the mathematical optimization community.
University of Wisconsin-Madison • Madison, WI
Faculty member and Department Chair specializing in computational optimization.
Department: Department of Computer Sciences