Find UC Berkeley Faculty

Research Expertise and Interest

Use quotes to search for an exact phrase. Example: "computational biology"

Name

Department

Ren Ng

Division of Computer Science (EECS)

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

Dept of Neuroscience

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

Aditi Krishnapriyan

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

David Bamman in office setting with bookcase in background

School of Information

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

Dept of Physics

physics, quantum mechanics, gravity, unified description of nature, string theory, quantum properties of black holes, the geometry of spacetime, covariant entropy bound, cosmological constant

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

Chunlei Liu inside Stanley Hall

Chunlei Liu

Division of Electrical Engineering (EECS)

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

Dept of Chemistry

Dept of Molecular & Cell Biology

amino acids, determinants of protein structure and folding, biophysical, structural and computational techniques, translocation, protein synthesis

Jennifer Listgarten

Jennifer Listgarten

Division of Computer Science (EECS)

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

Jack Gallant in outdoor setting

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

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

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

Isaac L. Bleaman

Isaac L. Bleaman

Dept of Linguistics

sociolinguistics, language contact, language change, language maintenance, computational linguistics, syntax, phonetics, Yiddish, Jewish languages

Dept of Mechanical Engineering

algorithms, fluid mechanics, nonlinear dynamics, atmospheric flows, convection, ocean flows, numerical analysis, wind energy, Bayesian optimization, neural networks, turbulence, planet formation, internal gravity waves, inertial waves, desalination, protoplanetary disks

Nilah Ioannidis

Nilah Ioannidis

Division of Computer Science (EECS)

computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics

Koushik Sen

Division of Computer Science (EECS)

computer science, programming systems, software engineering, programming languages, computational logic, software testing, verification, model checking, runtime monitoring, performance evaluation

Dept of Earth and Planetary Science

hydrogeology, fluid mechanics, geomorphology, earth & planetary science, geological processes involving fluids, including problems in physical volcanology, geodynamics, dynamics of suspensions, flow & transport in porous materials, percolation theory

Photo of Professor Marti Hearst in her office on the UC Berkeley campus

Division of Computer Science (EECS)

School of Information

information visualization, web search, search user interfaces, human-computer interaction, user interfaces, empirical computational linguistics, natural language processing, online education

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

Jonathan Shewchuk

Jonathan Shewchuk

Division of Electrical Engineering (EECS)

scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation

Fei Xu

Dept of Psychology

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, cognitive development and AI models, psychology and philosophy

Division of Electrical Engineering (EECS)

computational optical imaging, light field cameras, metrology and inspection, phase retrieval, inverse problems in imaging, optical coherence theory, 3D imaging and display

School of Public Health

public health, genetic epidemiology, human genetics, autoimmune diseases, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology

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