Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Dept of Nuclear Engineering

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

Kai Vetter

Dept of Nuclear Engineering

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

Daniel Siefman in outside setting

Dept of Nuclear Engineering

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

Cathryn Carson. Credit: Brandon Sánchez Mejia/UC Berkeley

Dept of History

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

Dept of Nuclear Engineering

microscopy, nanomaterials, Nuclear materials, material science, radiation damage, corrosion in liquid metals, materials development, materials under extremes, nuclear applications, ion beam microscopy, nanoscale mechanical testing

Dept of Nuclear Engineering

nuclear astrophysics, experimental nuclear physics, homeland security, neutrinos

Massimiliano Fratoni

Dept of Nuclear Engineering

nuclear reactor design, fuel cycle analysis, fusion reactors, nuclear power, nuclear engineering, nuclear reactor physics, nuclear reactor safety

Per F. Peterson

Dept of Nuclear Engineering

nuclear engineering, heat and mass transfer, reactor thermal hydraulics, nuclear reactor design, radioactive waste, nuclear materials management

Dept of Statistics

data science, Educational Data Science, scientific computing

Bethany L. Goldblum

Dept of Nuclear Engineering

applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy

Bin Yu

Dept of Statistics

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

Person placeholder image

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Song Mei

Dept of Statistics

data science, statistics, machine learning

Photograph of Karl van Bibber in 2019

Karl van Bibber

Dept of Nuclear Engineering

Particle Astrophysics, experimental nuclear physics, Accelerator Technology and Neutron Sources

Michelle Wilkerson

Michelle Wilkerson

School of Education

K-12 math and science education, science education, mathematics education, computing education, design-based research, computers in K-12 education, data literacy, data science education

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Kam-Biu Luk

Dept of Physics

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

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Matt Pyle

Dept of Physics

astrophysics, nuclear physics

Dept of Environmental Science, Policy & Management

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

Aditya Parameswaran

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

Wick Haxton

Dept of Physics

astrophysics, neutrino physics, nuclear astrophysics, tests of symmetries and conservation laws in nuclear and particle and atomic physics, many-body theory, effective theories

David Moore

Dept of Nutritional Sciences & Toxicology

nuclear receptor molecular biology, gene regulation

Thomas Courtade

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science