Thesis 1988 Role Professor | Name Pavel Pevzner Notable awards ACM Fellow | |
 | ||
Institutions University of Southern CaliforniaPennsylvania State UniversityUniversity of California, San Diego Doctoral students Max Alekseyev, Vineet Bafna, Nuno Bandeira, Guillaume Bourque, Mark Chaisson, Phillip Compeau, Nitin Gupta, Sridhar Hannenhalli, Earl Hubbell, Neil Jones, Qian Peng, Son Pham, Sing-Hoi Sze, Degui Zhi Books Computational Molecular Biology, An Introduction to Bioinformatics Algorithms Fields Bioinformatics, Computational biology, Systems biology | ||
Pavel Arkadevich Pevzner (Russian: Павел Аркадьевич Певзнер) is the Ronald R. Taylor Professor of Computer Science and Director of the NIH Center for Computational Mass Spectrometry at University of California, San Diego. He serves on the Editorial Board of PLoS Computational Biology and he is a member of the Genome Institute of Singapore scientific advisory board.
Contents
Research
Pevzner is interested in new approaches to teaching computational molecular biology at both undergraduate and graduate level, serving as a founding instructor for the Bioinformatics Specialization on Coursera and having written several books on Bioinformatics and Computational Biology.
Education
Pevzner received his Ph.D. in Mathematics and Physics from the Moscow Institute of Physics and Technology while working for Russian Research Institute for Genetics and Selection of Industrial Microorganisms (NII Genetika). In 1990, he joined Michael Waterman's laboratory at the Department of Mathematics at the University of Southern California for two years as a postdoctoral research associate.
Career
In 1992, Pevzner took a position of an Associate Professor at the Pennsylvania 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 the University of California, San Diego and he is the Director of the NIH Center for Computational Mass Spectrometry.