Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

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

Gerbrand Ceder

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

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

Huiwen Jia

Dept of Industrial Engineering & Operations Research

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

Robert M. Anderson

Dept of Economics

finance, probability theory, mathematical economics, nonstandard analysis

Joshua Blumenstock

School of Information

machine learning, development economics, poverty and public policy, inequality and crisis

Amanda Coston

Dept of Statistics

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

Olga Holtz

Dept of Mathematics

numerical analysis, matrix and operator theory, approximation theory, wavelets and splines, orthogonal polynomials and special functions, analysis of algorithms and computational complexity

Lin Lin

Dept of Mathematics

applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

machine learning, personalized medicine and healthcare systems, global health equity, precision health

Thomas Courtade

Division of Electrical Engineering (EECS)

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

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

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

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

Alvin Cheung

Division of Computer Science (EECS)

program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages

Mariusz Wodzicki

Dept of Mathematics

algebra, Homological Algebra, analysis, mathematics, Non-commutative and algebraic geometry, K-theory, ballet studies, history of ballet

Jingshen Wang

School of Public Health

precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence

Avishay Tal

Division of Computer Science (EECS)

theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Jennifer Chayes

Dept of Mathematics

Dept of Statistics

Division of Computer Science (EECS)

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

Alexei Efros

Division of Computer Science (EECS)

computer vision, computer graphics, computational photography, machine learning, artificial intelligence

Martin Lettau

Haas School of Business

financial economics, asset pricing, investments, mutual funds

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

Berkeley Expertise Finder Assistant

[]

Disclaimer: This service is experimental and available for a limited time on a trial basis only. It is not intended for private or confidential information. Send us your feedback.

Find UC Berkeley Faculty

Secure Funding

Ensure Compliance

Locate Facilities

For VCR Units