Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Teresa Head-Gordon

Dept of Bioengineering

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science

Richard Harland

Dept of Molecular & Cell Biology

molecular biology, early vertebrate development, Xenopus, embryo development

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

David H. Raulet

Dept of Molecular & Cell Biology

biology, cancer immunology, natural killer (NK) cells, T-cell development and function, pathogens, viruses, lymphocyte receptors, microorganisms, cancer cells, tumor immunity, immunotherapy of cancer

Mary K. Firestone

Dept of Environmental Science, Policy & Management

soils, miicrobial biology, environmental science

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Ignacio Chapela

Dept of Environmental Science, Policy & Management

agriculture, biotechnology, environmental science, microbial biology, policy and management

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Alastair Iles

Dept of Environmental Science, Policy & Management

chemicals policy and politics, sustainable food systems, environmental STS, sustainability transitions, sustainability learning and societal change

Gregory Barton

Dept of Molecular & Cell Biology

immunology, cell biology, infectious disease, innate immunity, Microbiome, autoimmune diseases

Anne Collins

Dept of Psychology

learning, decision making, computational modeling, executive functions

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

Elizabeth Purdom

Dept of Statistics

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

Dor Abrahamson

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Alper Atamturk

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Armando Fox

Division of Computer Science (EECS)

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

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Roberto Horowitz

Dept of Mechanical Engineering

adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Shachar Kariv

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Lance Kriegsfeld

Dept of Integrative Biology

Dept of Psychology

Dept of Neuroscience

Neuroendocrinology, NeuroendocrinologyCircadian Biology, cognition, mental health, Neuroimmunology, animal behavior

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

cellular and systems biology, statistical inference, single-cell genomics

Niyogi checking plants in the Oxford Tract greenhouse. Photo credit: Mathew Burciaga.

Krishna K. Niyogi

Dept of Plant and Microbial Biology

genetics, plant and microbial biology, algae, photosynthesis, CRISPR-Cas9 genome editing, carbon sequestration

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