Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

James W. Rector

Dept of Civil and Environmental Engineering

geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas

David Bamman in office setting with bookcase in background

School of Information

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

Dana Miller-Cotto

School of Education

educational equity, early childhood education, cognitive processes, early math learning, social contexts of education

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Dept of Economics

economics, price theory models of anticompetitive exclusive dealing, switching costs, network effects, formal standardization

Adrian Aguilera standing in an office

Adrian Aguilera

Computational Precision Health Program

School of Social Welfare

digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science

School of Education

language, culture, society, literacy, literacy learning of urban youth, African American students in schools, writing development, effective teaching, learning strategies in multicultural urban schools and communities, studies of race - class - and gender, Leaders for Equity and Democracy EdD - LEAD

Dept of Psychology

bipolar disorder, healthy lifestyles, time-restricted eating, impulsivity, suicidality, community-engaged research/scholarship

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Grace Gu

Dept of Mechanical Engineering

Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials

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

Ryan Tibshirani giving a whiteboard talk

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Ramamoorthy Ramesh

Ramamoorthy Ramesh

Dept of Materials Science and Engineering

Dept of Physics

Atomic-scale synthesis of complex oxide heterostructures, 2D materials, spin-charge coupling, polar and magnetic topologies, electron microscopy, piezoforce microscopy, NV magnetometry, materials processing for devices, energy efficient electronics(12634)

Hiroshi Nikaido

Hiroshi Nikaido

Dept of Molecular & Cell Biology

membrane biochemistry, bacterial physiology, bacteria, channel-forming proteins of the outer membrane, the diffusion of lipophilic compounds, mechanism and regulation of multidrug efflux transport systems, mycobacterial cell wall

Glynda Hull

School of Education

language, culture, society, education, literacy, writing in and out of schools, multi-media technology, new literacies, adult learning, work, community, school, university collaborations

Christian H. Borgs

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Sandrine Dudoit

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

Dept of Physics

physics, standard model of particle physics, symmetries of nature, the symmetry of the electroweak interaction, spacetime symmetries: weak scale supersymmetry, constrained theories for the quark and charged lepton masses, supersymmetric theory

Terrence Hendershott

Terrence Hendershott

Haas School of Business

management of information systems, role of information technology in financial markets, after-hours stock trading, electronic communications networks (ECNs), electronic markets

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

Dept of Linguistics

meaning, grammar, endangered languages, Native American languages, semantics, syntax, word structure, language universals, language variation, Nez Perce language

Anant Sahai

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems

Maurice Obstfeld

Maurice Obstfeld

Dept of Economics

economics, monetary and fiscal remedies for deflation, open-market purchases in a liquidity trap, exchange rates, monetary policy, international finance, open-economy macroeconomics, macroeconomic history

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

Park Sinchaisri

Park Sinchaisri

Haas School of Business

operations management, operations research, machine learning, human-computer interaction, decision-making, behavioral science, behavioral economics, service operations, applied econometrics