Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Raluca standing in front of computer graphics

Raluca Ada Popa

Division of Computer Science (EECS)

computer security, applied cryptography

photographed in front of the blackboard in his office

Dan-Virgil Voiculescu

Dept of Mathematics

operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

Nick Tsivanidis

Nick Tsivanidis

Dept of Economics

Haas School of Business

urban and regional economics, development economics, applied econometrics

Haas School of Business

ecommerce, contracts and procurement, economics of organization, game theory, theory of the firm and industrial organization

Christopher Walters

Christopher Walters

Dept of Economics

labor economics, applied econometrics, economics of education

Kosa Goucher-Lambert

Kosa Goucher-Lambert

Dept of Mechanical Engineering

design theory and methods, automation, decision-making applied to engineering teams and individuals, ideation and creativity, analogical reasoning in design, preference modeling and design attribute optimization, design cognition, neuroimaging methods applied to design, sustainable design, New product development, crowdsourcing and collaboration

Dept of Film and Media

feminist theory, cultural theory, archaeology of media technology, film and modernity, film theory, psychoanalytic theory

Sunčica Čanić

Dept of Mathematics

applied mathematics, partial differential equations, computational methods, biomedical research

Dept of Mathematics

mathematics, algebraic geometry, diophantine geometry, Nevanlinna theory, Arakelov theory

Mario Telò at a desk with books in the background

Mario Telò

Dept of Rhetoric

Greek literature, Roman drama, critical theory, continental philosophy

Ori Ganor

Dept of Physics

string (and M-) theory, quantum field theory, mathematical physics

Dept of Philosophy

moral philosophy, political philosophy, practical reason, applied ethics

Christian H. Borgs

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

Alistair Sinclair

Dept of Statistics

Division of Electrical Engineering (EECS)

algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization

Lin Lin

Dept of Mathematics

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

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Martin P. Head-Gordon

Martin P. Head-Gordon

Dept of Chemistry

theoretical chemistry, electronic structure calculations, development of novel theories and algorithms, quantum mechanics

Franziska Weber

Franziska Weber

Dept of Mathematics

applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations

Ken Kamrin

Dept of Mechanical Engineering

solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics

Dept of Mathematics

applied mathematics, numerical analysis, computational solid and fluid mechanics

Per-Olof Persson

Per-Olof Persson

Dept of Mathematics

applied mathematics, numerical methods, computational fluid and solid mechanics

Dept of Statistics

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

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

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

Michael Lindsey

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods