Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Dept of Materials Science and Engineering

structural materials, computational materials, the limits of strength, deformation mechanisms, non-destructive testing with SQUID microscopy, mechanisms of grain refinement in high strength steels, lead-free solders for microelectronics

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

Sanjit Seshia

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages

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

Jelani Nelson

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Deirdre Mulligan

School of Information

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

Daryl C. Chrzan

Dept of Materials Science and Engineering

materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures

Susan Marqusee

Dept of Chemistry

Dept of Molecular & Cell Biology

amino acids, determinants of protein structure and folding, biophysical, structural and computational techniques, translocation, protein synthesis

Grigory Tikhomirov

Division of Computer Science (EECS)

bioengineering, nanofabrication, nanorobotics, biosystems and computational biology, energy, integrated circuits, micro/nano electro mechanical systems, physical electronics

Eileen D. Gambrill

School of Social Welfare

social welfare, professional ethics and education, social learning theory, behavioral methods

Bin Yu

Dept of Statistics

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

Jingshen Wang

School of Public Health

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

Dor Abrahamson

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Ying Cui

Dept of Industrial Engineering & Operations Research

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

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Gopala Krishna Anumanchipalli

Division of Computer Science (EECS)

biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics

Isaac L. Bleaman

Dept of Linguistics

sociolinguistics, language contact, language change, language maintenance, computational linguistics, syntax, phonetics, Yiddish, Jewish languages

Daniel Siefman

Dept of Nuclear Engineering

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

Adrian Aguilera

Computational Precision Health Program

School of Social Welfare

digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Dana Miller-Cotto

School of Education

educational equity, early childhood education, cognitive processes, early math learning, social contexts of education

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