Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Dept of Statistics

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

Xiudi Li

School of Public Health

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

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

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 Statistics

statistics, empirical process, high-dimensional modeling, technology in education

Adityanand Guntuboyina

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

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

Dept of Political Science

causal inference, survey data analysis

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

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

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

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

Dept of Physics

physics, theoretical condensed matter, topological phase transitions, high-temperature superconductivity, organization principles enabling microscopic degrees of freedom to behave cooperatively, matter and their formation mechanisms, low dimensional quantum magnets, strongly correlated Fermi and Bose fluids

Katrin Wehrheim

Katrin Wehrheim

Dept of Mathematics

low-dimensional topology, symplectic topology, geometry/topology

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

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

Kwabena Bediako in lab

Kwabena Bediako

Dept of Chemistry

inorganic chemistry, materials chemistry, heterogeneous catalysis, electrochemistry, quantum transport, optoelectronics, low-dimensional and nanoscale structures

Jeffrey R. Long

Jeffrey R. Long

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

inorganic and materials chemistry, synthesis of inorganic molecules and higher dimensional solids, precise tailoring of chemical and physical properties, gas storage, molecular separations and catalysis in porous materials, magnetic and conductive materials

Dept of Statistics

data science, Educational Data Science, scientific computing

Photo of Abhishek Nagaraj in outside setting.

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Michael Hutchings

Michael Hutchings

Dept of Mathematics

mathematics, symplectic geometry, contact geometry, low dimensional topology, dynamics

Ian Agol

Dept of Mathematics

topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology

Burkhard Militzer

Burkhard Militzer

Dept of Earth and Planetary Science

density functional methods, equation of state calculations, planetary interiors, materials at high pressure, theoretical mineral physics, path integration Monte Carlo, planet formation, quantum Monte Carlo method

Ali Kakhbod

Haas School of Business

financial economics, liquidity, market microstructure, big data, contracts