Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Bin Yu

Dept of Statistics

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

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

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

Lee Fleming

Dept of Industrial Engineering & Operations Research

commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership

Daniel Siefman

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry

Joshua Bloom

Dept of Astronomy

machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery

Carl Boettiger

Dept of Environmental Science, Policy & Management

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

David Bamman

School of Information

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

Sarah Chasins

Division of Computer Science (EECS)

programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science

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

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Kam-Biu Luk

Dept of Physics

physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics

Zaijun Chen

Division of Electrical Engineering (EECS)

physical electronics, artificial intelligence, computer architecture & engineering, information / data / network / communication science, integrated circuits

Lee Bernstein

Dept of Nuclear Engineering

nuclear science data, nuclear engineering, experimental nuclear physics, isotopes, nuclear astrophysics, nuclear science, nuclear weapons

Ming Wu

Division of Electrical Engineering (EECS)

silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics

Kai Vetter

Dept of Nuclear Engineering

nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience

Haiyan Huang

Dept of Statistics

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

Susan Irene Stone

School of Social Welfare

school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development

Ryan Tibshirani

Dept of Statistics

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

Clancy Wilmott

Dept of Geography

critical cartography, media geographies, critical GIS and data studies, cultural memory and landscape, politics of representation - textualization - and visuality, digitalities

Cathryn Carson

Dept of History

science and society, data science, ethics, artificial intelligence, history of science and technology, history of physics, nuclear waste, intellectual history, interdisciplinarity

Trevor Keenan

Dept of Environmental Science, Policy & Management

global change, natural climate solutions, Dynamic Vegetation, carbon cycle, ecophysiology, land-atmosphere interactions, biogeochemistry, micrometeorology, remote sensing, mathematics and data science

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

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