Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

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 Political Science

causal inference, survey data analysis

Elizabeth Purdom

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Xiudi Li

School of Public Health

causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis

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

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

Mark D'Esposito, M.D.

Mark D'Esposito

Dept of Psychology

cognitive neuroscience, psychology, working memory, frontal lobe function, functional MRI, neurology, brain imaging, dopamine

Jimmy A. McGuire

Jimmy A. McGuire

Dept of Integrative Biology

historical biogeography, evolutionary biology, Southeast Asia, population genetics, hummingbirds, functional morphology, vertebrate systematics, phylogenetic analysis, life history evolution, Bayesian methods, Southeast Asian flying lizards

Susan Stone smiling in office setting

Susan Irene Stone

School of Social Welfare

school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development

Ryan Tibshirani giving a whiteboard talk

Ryan Tibshirani

Dept of Statistics

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

Dept of Plant and Microbial Biology

plant climate change adaptation, historical functional genomics, plant development

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

Avishay Tal

Division of Computer Science (EECS)

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

Dept of Statistics

data science, Educational Data Science, scientific computing

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

Dept of Integrative Biology

biomechanics, insects, invertebrate functional morphology, fluid dynamics, aerodynamics, marine animals, filtration, gliding vertebrates

Filip C. Filippou

Dept of Civil and Environmental Engineering

nonlinear analysis of structures, finite element analysis, seismic response simulation, seismic evaluation of structures by computer analysis

Ruixiang Zhang giving a math talk

Dept of Mathematics

mathematical analysis

School of Education

knowledge representation, adaptive learning, artificial intelligence, learning analytics, Recommender Systems, higher education, data science, Digital Learning Environments, cognitive modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Online Learning, psychometrics, Educational Data Mining

Michelle Wilkerson

Michelle Wilkerson

School of Education

K-12 math and science education, science education, mathematics education, computing education, design-based research, computers in K-12 education, data literacy, data science education

Song Mei

Dept of Statistics

data science, statistics, machine learning

Franziska Weber

Franziska Weber

Dept of Mathematics

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

Photo of Abhishek Nagaraj in outside setting.

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography