Find UC Berkeley Faculty

Research Expertise and Interest

Search by keyword or research area. Use quotes for exact phrases — e.g., "computational biology".

Name

Department

Dept of Statistics

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

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

Sophia Rabe-Hesketh

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Dept of Statistics

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

Woman with dark hair wearing gray blazer and glasses - smiling

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

Perry de Valpine

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and statistics

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Dept of Political Science

American political institutions, bureaucratic organizations, executive branch, public administration, political economy, statistical modeling

Shirshendu Ganguly

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Andrew Bray

Dept of Statistics

statistical computing, data privacy, data science

NikitaZhivotovskiy

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

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

Oskar Hallatschek

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

Vadim Gorin with book "Probability" by Albert Shiryaev

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory, 2d statistical mechanics, interacting particle systems, high-dimensional statistics

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Sandya Subramanian

Computational Precision Health Program

translational medicine, computational neuroscience, physiology, statistics, mathematical modeling

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, Bayesian probabilistic models, cognitive development and AI models, psychology and philosophy

Image of Alexander Huth with brain images in background

Dept of Neuroscience

Dept of Statistics

language neuroscience, fMRI, semantic modeling, decoding/encoding models, computational neuroscience

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Okamoto diving in sea urchin barrens

Dept of Integrative Biology

population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics

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

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

Mark Wilson

School of Education

measurement, psychometrics, assessment, development of assessment resources, assessment systems

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies