Daniel Gillespie

Daniel Gillespie
Dan Gillespie
Residence United States
Nationality American
Fields Physicist and mathematical chemist
Institutions University of Maryland
NAWS China Lake
Alma mater Rice University
Johns Hopkins University
Academic advisors Jan Sengers
Known for Gillespie algorithm

Daniel Jack Gillespie, is a physicist and mathematical chemist who pioneered numerical methods in stochastic calculus, principally the Gillespie algorithm in 1977.[1] His work is concerned with stochastic processes, particularly specializing in stochastic methods for modeling chemical kinetics.

Contents

Education

Gillespie received his B.A. in Physics from Rice University in 1960, and his Ph.D. in Physics from Johns Hopkins University in 1968 with a thesis entitled Some Aspects of Resonance Production and Diffraction-Dissociation in 5.44 GeV/c K+p Interactions.

Career

From 1968 to 1971 he was a postdoctoral researcher at the University of Maryland, College Park's Institute for Molecular Physics, where he worked under Jan Sengers.

From 1971 to 2001 he worked as a Research Physicist in the Earth and Planetary Sciences Division of the Naval Air Weapons Station China Lake. Later at that institution he was Head of the Applied Mathematics Research Group, and finally a Senior Scientist in the Research Department.

In 2001 he retired and now works as a consultant for the California Institute of Technology and the Molecular Sciences Institute.[2]

Books by Gillespie

  • Daniel Jack Gillespie, A Quantum Mechanics Primer, Aylesbury, Eng., International Textbook Co., 1973, ISBN 0700222901
  • Daniel Jack Gillespie, Markov Processes: An Introduction for Physical Scientists, Academic Press, Boston, 1992, ISBN 0122839552
  • Daniel Jack Gillespie Bob and Ray and Tom, BearManor Media, Albany, 2004, ISBN 159393-008-9 (A biography of Tom Koch).

References

External links


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