Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

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

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Alice M. Agogino

Dept of Mechanical Engineering

intelligent learning systems, information retrieval and data mining, multiobjective and strategic product design, nonlinear optimization, probabilistic modeling, intelligent control and manufacturing, sensor validation and fusion and diagnostics, wireless sensor networks, multimedia and computer-aided design, design databases, design theory and methods, MEMS Synthesis and CAD, artificial intelligence and decision and expert systems, gender equity

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Patrick Hsu

Dept of Bioengineering

generative biology, language models, virtual cell models, genome mining and editing, synthetic biology, AI agents for science

Song Mei

Dept of Statistics

data science, statistics, machine learning

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

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Erin Hartman

Dept of Political Science

causal inference, survey data analysis

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Xiudi Li

School of Public Health

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

Jennifer Anne LaFleur

School of Journalism

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

Elizabeth Purdom

Dept of Statistics

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

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

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

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

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

Alexandre Mas

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Paul Schwartz

School of Law

privacy, information privacy law, data protection law, law and technology

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science

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