Pavel Pevzner | |
|---|---|
Pavel Pevzner in 2011 | |
| Born | Pavel Arkadevich Pevzner |
| Alma mater | Moscow Institute of Physics and Technology |
| Awards | ACM Fellow ISCB Fellow ISCB Senior Scientist Award HHMI Professor AAAS Fellow |
| Scientific career | |
| Fields | Bioinformatics Algorithms Computational biology[1] |
| Institutions | University of Southern California Pennsylvania State University University of California, San Diego |
| Thesis | (1988) |
| Academic advisors | Michael Waterman |
| Doctoral students | Vineet Bafna[2] |
| Website | cseweb |
Pavel Arkadevich Pevzner (Russian:Павел Аркадьевич Певзнер) is the Ronald R. Taylor Professor of Computer Science and director of theNIH Center for Computational Mass Spectrometry atUniversity of California, San Diego.[3][4][5] He serves on the editorial board ofPLoS Computational Biology and he is a member of theGenome Institute of Singapore scientific advisory board.[6]
Pevzner received his Ph.D. in mathematics and physics from theMoscow Institute of Physics and Technology while working for the Russian Research Institute for Genetics and Selection of Industrial Microorganisms (NII Genetika). In 1990, he joinedMichael Waterman's laboratory in the Department of Mathematics at theUniversity of Southern California for two years as apostdoctoral research associate.
Pevzner is interested in new approaches to teaching computational molecular biology at both undergraduate and graduate level,[7][8] serving as a founding instructor for thebioinformatics specialization onCoursera[9] and having written several books onbioinformatics andcomputational biology.[4][10][11][1]
In 1992, Pevzner took the position ofassociate professor atPennsylvania State University.
In 1995, Pevzner moved back to the University of Southern California as a professor of mathematics, computer science, and molecular biology. Since 2000, he has been the Ronald R. Taylor Professor of Computer Science at theUniversity of California, San Diego and he is the director of theNIH Center for Computational Mass Spectrometry.