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

Bin Yu

Dept of Statistics

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

Joshua Bloom

Dept of Astronomy

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

Teresa Head-Gordon

Dept of Bioengineering

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning

Daniel Siefman

Dept of Nuclear Engineering

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

Peter Bickel

Dept of Statistics

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

Bethany L. Goldblum

Dept of Nuclear Engineering

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

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

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

Grace Gu

Dept of Mechanical Engineering

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

Ann Keller

School of Public Health

political science, health politics, public policy, public administration, disaster response, expertise in public decision-making

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

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

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Ernesto Dal Bó

Haas School of Business

applied microeconomic theory, political economy, corruption and influence, collective decision-making, coercion, quality of politicians, state capabilities

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

Dept of Statistics

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

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Xiao-Jun Zhang

Haas School of Business

security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing

David M. Auslander

Dept of Mechanical Engineering

control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control

Kirk Bansak

Dept of Political Science

causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology

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

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

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

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

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