Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Dept of Psychology

alcohol and substance use disorder, externalizing, electroencephalogram (EEG), event-related potentials, ecological momentary assessment, behavioral economics, behavioral genetics

Donald Rio

Dept of Molecular & Cell Biology

molecular genetics, drosophila melanogaster, transposable elements, RNA splicing, neurodegenerative diseases, nucleic acid rearrangement reactions, P elements and their cellular host

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

Prof. David Bilder

Dept of Molecular & Cell Biology

genetics, cancer, Drosophila, cell biology, cell polarity, tumor suppressor, epithelial architecture, polarity, proliferation control, tumor-host interaction, morphogenesis

Tyrone B. Hayes

Tyrone B. Hayes

Dept of Integrative Biology

genetics, amphibians, developmental endocrinology, steroid hormones, metamorphosis, sex differentiation, hormonal differentiation, African clawed frog, Japnanes Kajika, Pine Barrens treefrog

Division of Computer Science (EECS)

unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

Steven N. 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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

Jimmy A. McGuire

Jimmy A. McGuire

Dept of Integrative Biology

historical biogeography, evolutionary biology, Southeast Asia, population genetics, hummingbirds, functional morphology, vertebrate systematics, phylogenetic analysis, life history evolution, Bayesian methods, Southeast Asian flying lizards

Henry Brady

Dept of Political Science

Goldman School of Public Policy

comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

Dept of Statistics

Theoretical and Applied Statistics

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

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

Song Mei

Dept of Statistics

data science, statistics, machine learning

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Dept of Statistics

statistics, empirical process, high-dimensional modeling, technology in education

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Perry de Valpine

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and statistics

Dept of Statistics

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

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Samuel Lucas at podium

Dept of Sociology

research methods, demography, sociology, social stratification, sociology of education, research statistics

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Steven E. Brenner

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

Osagie K. Obasogie

Osagie K. Obasogie

School of Public Health

law, bioethics, reproductive and genetic technologies, race