Pavel Pevzner: A new parameter-free framework for sequence comparison

Pavel Pevzner is Ronald R. Taylor Chair and Distinguished Professor of Computer Science and Engineering at University of California, San Diego. He holds Ph.D. from Moscow Institute of Physics and Technology, Russia. He holds honorary degrees from Simon Fraser University and Tel Aviv University. He was named Howard Hughes Medical Institute Professor in 2006. He was elected the Association for Computing Machinery (ACM) Fellow, the International Society for Computational Biology (ISCB) Fellow, the American Association for Advancement in Science (AAAI) Fellow, and the European Academy of Sciences member (Academia Europaea) member. He was awarded the ISCB Senior Scientist Award, and the ACM Kanellakis Theory and Practice Award. Dr. Pevzner authored textbooks "Computational Molecular Biology: An Algorithmic Approach", "Introduction to Bioinformatics Algorithms" (with Neal Jones), “Bioinformatics Algorithms: an Active Learning Approach” (with Phillip Compeau), and “Learning Algorithms through Programming and Puzzle Solving” (with Alexander Kulikov). He co-developed the “Bioinformatics” and “Data Structure and Algorithms” online specializations on Coursera with over a million enrollments in the last decade.

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