Professor of Computer Science and IEOR
Department of Industrial Engineering & Operations Research, Division of Computer Science/EECS
(510) 642-1559

Research Expertise and Interest

economics, evolution., algorithms, game theory, networks, optimization, complexity


My work is on the theory of algorithms and computational complexity, and its applications to optimization, databases, artificial intelligence, networks, economics and game theory, and the theory of evolution.

In Research News

June 16, 2014

UC Berkeley computer theorists have identified an algorithm to describe the strategy used by genes during sexual recombination. In doing so, they address the dueling evolutionary forces of survival of the fittest and of diversity.

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