Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

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

Dept of Psychology

A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism

Haas School of Business

labor markets, human resources, data analysis and statistical methods

School of Public Health

infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference

Oskar Hallatschek

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Ying Cui

Dept of Industrial Engineering & Operations Research

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

Priya Moorjani standing in front of map of the world

Dept of Molecular & Cell Biology

Human evolutionary genetics, human genetics, ancient DNA, population genetics, statistical genetics

Professor Ahmad Omar sitting in front of a glass whiteboard marked with equations related to his research.

Ahmad Omar

Dept of Materials Science and Engineering

statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly

Kranthi K. Mandadapu

Kranthi K. Mandadapu

Dept of Chemical & Biomolecular Engineering

statistical mechanics, fluid mechanics, solid mechanics, biological membranes, active matter, glassy dynamics

Dept of Political Science

American political institutions, bureaucratic organizations, executive branch, public administration, political economy, statistical modeling

Ian Wang

Dept of Environmental Science, Policy & Management

genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics

Jonah B. Gelbach

civil procedure, statutory interpretation, law and economics, event study methodology, securities litigation, economics of crime, public assistance, statistical methods

Nilah Ioannidis

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 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

Division of Computer Science (EECS)

unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Henry Brady

Dept of Political Science

Goldman School of Public Policy

comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

Dept of Statistics

Theoretical and Applied Statistics

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

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

Song Mei

Dept of Statistics

data science, statistics, machine learning

School of Education

Dept of Psychology

Problem solving, knowledge representation & reorganization, explanatory coherence & inference, conceptual change, societal implications, science instruction, global climate change psychology, numeracy in journalism, naïve/informal physics, computational models of cognition, perceptual-cognitive interactions, intelligent tutoring systems, understandings of biological evolution, Reasoning, qualitative & quantitative thinking