Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Streets in his Stanley Hall Laboratory. Photo credit: Michelle Tran

Aaron Streets

Dept of Bioengineering

bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics

Jack P. Moehle

Dept of Civil and Environmental Engineering

earthquake engineering, structural engineering, reinforced concrete, performance-based earthquake engineering, high-rise buildings, lifeline systems, rehabilitation (retrofitting), laboratory testing

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

Robert L. Taylor

Dept of Civil and Environmental Engineering

computational mechanics, mechanics of solids, finite element methods, finite element software

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Rikky Muller

Division of Electrical Engineering (EECS)

integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems

Andrea A. diSessa

School of Education

education, cognition, conceptual development, science education, design of technology for education, computational literacies

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning

Chunlei Liu

Division of Electrical Engineering (EECS)

brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing

Shafi Goldwasser

Division of Computer Science (EECS)

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

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Ren Ng

Division of Computer Science (EECS)

imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence

Emily Cooper

School of Optometry

3D vision, depth perception, computational neuroscience, augmented and virtual reality, assistive technology

Burgmann teaching EPS116 field trip at Moss Beach

Roland Bürgmann

Dept of Earth and Planetary Science

active tectonics, geophysics, geology, earth and planetary science, geomechanics, tectonics, Seismology, structural geology, fault zone processes, crustal deformation, space geodesy, natural hazards, landslides

Daryl C. Chrzan

Dept of Materials Science and Engineering

materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures

David Bamman

School of Information

natural language processing, machine learning, digital humanities, computational social science, data science

David Foster

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Jennifer Listgarten

Division of Computer Science (EECS)

artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design

Grigory Tikhomirov

Division of Computer Science (EECS)

bioengineering, nanofabrication, nanorobotics, biosystems and computational biology, energy, integrated circuits, micro/nano electro mechanical systems, physical electronics

Jack L. Gallant

Dept of Neuroscience

computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding

Katherine A. Yelick

Division of Computer Science (EECS)

high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology

Sanjit Seshia

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages

Gopala Krishna Anumanchipalli

Division of Computer Science (EECS)

biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics

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