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Donald Geman
Donald Jay Geman (born September 20, 1943) is an American applied mathematician and a leading researcher in the field of machine learning and pattern recognition. He and his brother, Stuart Geman, are very well known for proposing the Gibbs sampler and for the first proof of the convergence of the simulated annealing algorithm, in an article that became a highly cited reference in engineering (over 14K citations according to Google Scholar, as of July 2013 〔Google Scholar: (Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration ).〕). He is a Professor at the Johns Hopkins University and simultaneously a visiting professor at École Normale Supérieure de Cachan.
== Biography ==
Geman was born in Chicago in 1943. He graduated from the University of Illinois at Urbana-Champaign in 1965 with a B.A. degree in English Literature and from Northwestern University in 1970 with a Ph.D. in Mathematics. His dissertation was entitled as "Horizontal-window conditioning and the zeros of stationary processes." He joined University of Massachusetts - Amherst in 1970, where he retired as a distinguished professor in 2001. Thereafter, he became a professor at the (Department of Applied Mathematics ) at Johns Hopkins University. He has also been a visiting professor at the École Normale Supérieure de Cachan since 2001. He is a Fellow of both the Institute of Mathematical Statistics and the Society for Industrial and Applied Mathematics.
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