Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Samuel Kapon

Haas School of Business

microeconomic theory, Mechanism Design, experimental economics

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Lining Yao

Dept of Mechanical Engineering

sustainable design, morphing material mechanisms, ecology, sustainability

Xiudi Li

School of Public Health

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

Hannah Stuart

Dept of Mechanical Engineering

robotics, dynamics, design-based research, exoskeleton systems, bioinspired robots, marine systems, dexterous manipulation, hands, grasping, Mechanism Design, human-robot interaction

Kimiko Ryokai

School of Information

design, human-computer interaction, user experience research

Jan M. Rabaey

Division of Electrical Engineering (EECS)

sensor networks, integrated circuits, integrated wireless systems, low-power system design, biomedical interfaces

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Amy E. Herr in foreground with microfluidic data in background

Amy Herr

Dept of Bioengineering

microfluidics, bioanalytical separations, diagnostics, electrokinetic transport, engineering design

Andreas Schaab

Dept of Economics

monetary policy, business cycle fluctuations, inequality, policy design

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Manxi Wu

Dept of Civil and Environmental Engineering

game theory, multi-agent learning, transportation systems analysis

Trevor Keenan

Dept of Environmental Science, Policy & Management

global change, natural climate solutions, Dynamic Vegetation, carbon cycle, ecophysiology, land-atmosphere interactions, biogeochemistry, micrometeorology, remote sensing, mathematics and data science

Anne Collins

Dept of Psychology

learning, decision making, computational modeling, executive functions

Shiben Banerji

Dept of History of Art

architecture, urbanism, rhetoric, public life, design theory and methods

Armando Fox

Division of Computer Science (EECS)

online education, MOOC, blended learning, parallel programming, software engineering, Web development

Richard H. Kramer

Dept of Neuroscience

Neurons, synaptic transmission, photopharmacology, ion channels, action potentials, optical imaging, vision, learning and memory, retina, neurodegenrative disease(1551)

James Pitman

Dept of Statistics

fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Sayeef Salahuddin

Division of Electrical Engineering (EECS)

physical electronics, design and modeling and analysis, energy, scientific computing

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Mary Comerio

Dept of Architecture

disaster recovery, housing impacts in disasters, loss modeling, performance based design

Andrea A. diSessa

School of Education

education, cognition, conceptual development, science education, design of technology for education, computational literacies

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

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