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PhD, Mathematics, University of Virginia
Probability, stochastic processes, heavy tailed behavior in finance and engineering, statistical genetics.
Listed in Who’s Who in America
Area of Expertise:
Probability theory, general mathematics and statistics, genetics, mathematical finance
John Nolan is the author of more than 30 publications and is listed in Who's Who in America. He has taught at the University of Zambia, and Kenyon College (in Ohio), and worked in a software company before coming to American University. His main research interests are in probability theory, with a focus on heavy-tailed stable distributions. He is also interested in problems in finance, engineering, and genetics. He is a coprincipal investigator in Math for America D.C., a program that trains skilled mathematics teachers for D.C. public schools.
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