Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

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Lijie Chen

Division of Computer Science (EECS)

computational complexity, quantum computing, pseudorandomness, derandomization, complexity theory

Venkatesan Guruswami

Dept of Mathematics

Division of Computer Science (EECS)

theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity

Umesh Vazirani

Division of Computer Science (EECS)

quantum computation, hamiltonian complexity, analysis of algorithms, computer security

Shafi Goldwasser

Division of Computer Science (EECS)

cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)

Avishay Tal

Division of Computer Science (EECS)

theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation

Olga Holtz

Dept of Mathematics

numerical analysis, matrix and operator theory, approximation theory, wavelets and splines, orthogonal polynomials and special functions, analysis of algorithms and computational complexity

Ryan Oprea

Haas School of Business

behavioral economics, experimental economics, complexity

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

John Wright

Division of Computer Science (EECS)

quantum state learning, quantum complexity theory, property testing, approximation algorithms

Bruno Olshausen

Dept of Neuroscience

School of Optometry

visual perception, computational neuroscience, computational vision

Lisa Maher

Dept of Anthropology

archaeology, hunter-gatherers, prehistory, geoarchaeology, landscape use, stone tools technology, emergence of social complexity, ancient technology

Nir Yosef

Division of Computer Science (EECS)

computational biology

Ian Holmes

Dept of Bioengineering

computational biology, molecular evolution, computational genomics, Systems and Synthetic Biology

John Huelsenbeck

Dept of Integrative Biology

computational biology, evolutionary biology, phylogenetics

Mark Asta

Dept of Materials Science and Engineering

computational materials science

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

artificial intelligence, machine learning, applied probability and statistics, computational biology, computational genomics, human genetics

Teresa Head-Gordon

Dept of Bioengineering

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science

Liana Lareau

Dept of Bioengineering

computational biology, molecular biology

Francisco Armero

Dept of Civil and Environmental Engineering

computational mechanics, nonlinear continuum mechanics

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

computational biology and genomics, neuroscience, biophysics, soft matter

Denis Titov

Dept of Molecular & Cell Biology

Dept of Nutritional Sciences & Toxicology

metabolism, aging, systems biology, computational biology

Steven E. Brenner

Dept of Bioengineering

Dept of Molecular & Cell Biology

Dept of Plant and Microbial Biology

molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, precision medicine, precision health

Anne Collins

Dept of Psychology

learning, decision making, computational modeling, executive functions

Ilan Adler

Dept of Industrial Engineering & Operations Research

mathematical programming, computational game theory, applied probability

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