Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Erin Hartman

Dept of Political Science

causal inference, survey 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

Elizabeth Purdom

Dept of Statistics

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

Alexandre Mas

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

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

Dept of Statistics

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

Haiyan Huang

Dept of Statistics

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

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

Alvin Cheung

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

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

Dept of Mathematics

mathematical analysis

Zachary Pardos

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

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

Jennifer Anne LaFleur

School of Journalism

data journalism, investigative journalism, disability, inequality, criminal justice

Franziska Weber

Dept of Mathematics

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

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Michael J. Lindsey

Dept of Mathematics

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

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Richard H. Bamler

Dept of Mathematics

geometric analysis, differential geometry, topology

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