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Institute Affiliation:
California Institute for Telecommunications and Information Technology
Contact Information:
Phone:
858-822-4365
Email:
ppevzner@cs.ucsd.edu
Personal Home Page
Research Page
| | Pavel Pevzner - Professor
Computational molecular biology and bioinformatics.
Professor Pevzner is a leading authority on using computer science to decipher and analyze
the human genome. He has written the book (see bio) on computational molecular biology and is currently writing
another aimed at undergraduates, "Bioinformatics for Biologists," to present algorithmic ideas in computational
biology. Pevzner has developed a new approach to discovery of subtle regulatory patterns in DNA sequences
(motif finding). His laboratory has produced a new EULER algorithm and web server to assemble DNA fragments as
well as the GRIMM algorithm and web server for genome rearrangement analysis. Pevzner actively collaborates with
biologists on studying rearrangements in human, mouse, cat, and cow genome sequences, and on prediction of
regulatory motifs.
Capsule Bio:
Pavel Pevzner holds the Ronald R. Taylor Chair in Computer Science. He joined the UCSD
faculty in 2000, following five years in the University of Southern California's Mathematics and Computer Science
departments. From 1992-95, he was an associate professor at Pennsylvania State University, where he was affiliated
with both the Biotechnology Institute and the Institute for Molecular Evolutionary Genetics. From 1990-92 Pevzner
was a postdoctoral researcher at USC. He received his Ph.D in 1988 from the Moscow Institute of Physics and
Technology. Pevzner is the author of the book "Computational Molecular Biology: An Algorithmic Approach"
(MIT Press, 2000) and "Introduction to Bioinformatics Algorithms" (MIT Press, 2004). He is an executive editor of
the "Journal of Computational Biology," and Chair of the Steering Committee of the International Conference on
Research in Computational Biology (RECOMB).
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