Robert Desharnais: Difference between revisions
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==Research areas== |
==Research areas== |
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Within population biology, his research interests include nonlinear [[population dynamics]], [[natural selection]] in |
Within population biology, his research interests include nonlinear [[population dynamics]], the role of [[natural selection]] in population dynamics, and the application of mathematics and statistics to biology. |
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==References== |
==References== |
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Revision as of 09:59, 8 February 2013
Robert Desharnais
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Robert Desharnais | |
|---|---|
| Born | Robert Anthony Desharnais March 29, 1955 |
| Nationality | American |
| Alma mater | University of Massachusetts, Boston University of Rhode Island |
| Scientific career | |
| Fields | Evolutionary biology |
| Institutions | California State University, Los Angeles |
| Doctoral advisor | Robert F. Constantino |
Robert Desharnais (born March 29, 1955) is an American evolutionary biologist. His research area is population biology, applying mathematical modeling to ecology.
Early life and education
Desharnais was born in Cambridge, Massachusetts. He studied biology at the University of Massachusetts, Boston, earning a Bachelor of Arts degree in 1976. At the University of Rhode Island, in 1979, he earned a Master of Science degree in zoology, and in 1982 he received a Doctor of Philosophy degree in zoology. His doctoral advisor was the population geneticist Robert F. Constantino.
Career
After finishing his graduate studies, from 1982 to 1983, Desharnais was a Killam Postdoctoral Fellow at Dalhousie University. From 1985 to 1987, he was a research associate at Rockefeller University, and from 1987 to 1988, he was an assistant professor. In 1988, he moved to Los Angeles, California to work as an assistant professor at California State University, Los Angeles, and in 1997, there he became full professor.
Research areas
Within population biology, his research interests include nonlinear population dynamics, the role of natural selection in population dynamics, and the application of mathematics and statistics to biology.