Dan Gillespie
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Daniel Thomas Gillespie () (15 August 1938 – 19 April 2017) was a physicist who is best known for his derivation in 1976 of the stochastic simulation algorithm (SSA), also called the Gillespie algorithm. Gillespie's broader research has produced articles on cloud physics, random variable theory, Brownian motion, Markov process theory, electrical noise, light scattering in aerosols, and quantum mechanics.


Education

Born in Missouri, Gillespie grew up in Oklahoma where he graduated from Shawnee High School in 1956. In 1960 he received his B.A. (''
magna cum laude Latin honors are a system of Latin phrases used in some colleges and universities to indicate the level of distinction with which an academic degree has been earned. The system is primarily used in the United States. It is also used in some So ...
'' and Phi Beta Kappa) with a major in physics from Rice University. Gillespie received his Ph.D. from Johns Hopkins University in 1968 with a dissertation in experimental elementary particle physics under Aihud Pevsner. Part of his dissertation derived procedures for stochastically simulating high-energy elementary particle reactions using digital computers, and Monte Carlo methodology would play a major role in his later work. During his graduate student years at JHU he was also a Jr. Instructor (1960–63) and an Instructor (1966-68) in the sophomore General Physics course.


Career

From 1968 to 1971, Gillespie was a Faculty Research Associate at the University of Maryland College Park's Institute for Molecular Physics. He did research in classical transport theory with Jan Sengers. In 1971 he was also an Instructor in the University's Physics Department. From 1971 to 2001, Gillespie was a civilian scientist at the
Naval Weapons Center The United States Naval Surface Warfare Center Dahlgren Division (NSWCDD), named for Rear Admiral John A. Dahlgren, is located in King George County, Virginia, in close proximity to the largest fleet concentration area in the Navy. NSWCDD is ...
in China Lake, California. Initially he was a Research Physicist in the Earth and Planetary Sciences Division. There his research in cloud physics led to a procedure for simulating the growth of raindrops in clouds, and that prompted his paper on the SSA. In 1981 he became Head of the Research Department's Applied Mathematics Research Group, and in 1994 he was made a Senior Scientist in the Research Department. He retired from China Lake in 2001. From 2001 to 2015, Gillespie was a private consultant in computational biochemistry, working under contract for various periods of time with the California Institute of Technology, the
Molecular Sciences Institute The Molecular Sciences Institute (MSI), now located in Milpitas, California was founded in Berkeley, California by Sydney Brenner in 1996. Its mission was to operate as an independent non-profit research laboratory that combined genomic experiment ...
(in Berkeley), the Beckman Institute at Caltech, and the University of California, Santa Barbara. Most of this was in collaboration with the
Linda Petzold Linda Ruth Petzold (born 1954) is a professor of computer science and mechanical engineering at the University of California, Santa Barbara, where she is also listed as affiliated faculty in the department of mathematics. Her research concerns d ...
research group in the Computer Sciences Department of UCSB.


Books by Gillespie

* Was in print from 1970 to 1986 by International Textbook Co., International Textbook Co. Ltd, Halstead Press, and Editorial Reverte (Spanish translation). * * A short biography of radio and television comedy writer Tom Koch, focusing mainly on his work for Bob and Ray. * An Errata List for this book, including a heavily revised Sec. 5.6, can be downloaded free fro
the book’s webpage on the publisher’s website


References


External links


Institute for Physical Science and Technology

Jan V. Sengers
* {{DEFAULTSORT:Gillespie, Daniel T. 1938 births 2017 deaths American physicists Probability theorists Rice University alumni Johns Hopkins University alumni Monte Carlo methodologists