Dor Abrahamson Berkeley School of Education mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Venkat Anantharam Division of Electrical Engineering/EECS game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
Robert M. Anderson Dept of Economics finance, probability theory, mathematical economics, nonstandard analysis
Christian Borgs Division of Computer Science/EECS theoretical computer science, probability theory, combinatorics, complex networks., statistical physics, artificial intelligence
Jyh-Yuan Chen Dept of Mechanical Engineering computational modeling of reactive systems, turbulent flows, combustion chemical kinetics
Peter Duesberg Dept of Molecular & Cell Biology carcinogenesis, aneuploidy, genetic structure of retroviruses, virology, HIV-AIDS
Steven Evans Dept of Mathematics Dept of Statistics large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Gary Karpen Dept of Molecular & Cell Biology gene expression, cell biology, chromosome structure and function, drosophila melanogaster, centromere identity and function, biophysics, condensed phases
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Yasunori Nomura Dept of Physics quantum gravity, cosmology, Theoretical Particle Physics, quantum information
Fraydoun Rezakhanlou Dept of Mathematics mathematics, probability theory, partial differential equations
Rhonda Righter Dept of Industrial Engineering & Operations Research modeling, optimization, stochastic systems, systems with uncertainty, service operations, scheduling and load balancing, telecommunications, computer and internet communications
Alistair Sinclair Dept of Statistics Division of Electrical Engineering/EECS algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Yun S. Song Dept of Statistics Division of Computer Science/EECS computational biology, population genomics, applied probability and statistics
Dan-Virgil Voiculescu Dept of Mathematics operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory
Ziqi Wang Dept of Civil and Environmental Engineering structural engineering, mechanics and materials, structural reliability, earthquake engineering, uncertainty quantification