Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

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

Carl Rothfels

Dept of Integrative Biology

evolutionary biology, phylogenetic methods, plant evolutionary biology

Meng-meng Fu

Dept of Integrative Biology

glial function, cell biology

Leah Guthrie

Dept of Bioengineering

microbial metabolism

An image of Dr. Lofgren standing outdoors

Lotus Lofgren

Dept of Plant and Microbial Biology

comparative genomics, bioinformatics, ecology, mycology

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

Ronald C. Cohen

Dept of Chemistry

Dept of Earth and Planetary Science

climate, greenhouse gases, air pollution, atmospheric chemistry, environmental chemistry, analytical chemistry, ozone, nitrogen oxides, CO2, clouds, Atmospheric Aerosol

Sheng Luan

Dept of Plant and Microbial Biology

microbial biology, plant biology

Richard H. Kramer

Dept of Neuroscience

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

Mary Scott

Dept of Materials Science and Engineering

structural materials, electronic materials, magnetic materials, optical materials, chemical and electrochemical material

Iain Clark

Dept of Bioengineering

microfluidics, single cell analysis, HIV, neurologic diseases

Joseph L. Napoli

Dept of Nutritional Sciences & Toxicology

metabolism, nutritional biochemistry, fat-soluble vitamins, retinoids, retinoic acid, retinol, vitamin A, vitamin D, analytical biochemistry

Rui Wang

Dept of Chemical & Biomolecular Engineering

theoretical polymer, soft materials, electrostatic double layer

Patrick Shih

Dept of Plant and Microbial Biology

synthetic biology, plant biology, microbiology, evolutionary biology

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Barry Shane

Dept of Nutritional Sciences & Toxicology

health and nutrition, nutritional sciences and toxicology, birth defects, nutritional 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

Anders Näär

Dept of Nutritional Sciences & Toxicology

gene expression, microRNAs, Mammalian Cell Metabolism, Metabolic Diseases, obesity, Type 2 diabetes, NAFLD/NASH, cancer therapies

Michael Crommie

Dept of Physics

physics, electronic properties of atomic-scale structures at surfaces, atomic-scale structures, morphology and dynamics of mesoscopic systems, atomic manipulation, visualizing low dimensional electronic behavior

person with dark glasses standing with water in background

Peter Sudmant

Dept of Integrative Biology

genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics

Andrew Minor

Dept of Materials Science and Engineering

metallurgy, nanomechanics, electron microscopy, in situ TEM, electron microscopy of soft materials

Danica Chen

Dept of Nutritional Sciences & Toxicology

aging, stem cell, metabolism, diseases of aging

Richard S. Dodd

Dept of Environmental Science, Policy & Management

environmental policy, environmental science, forestry, wildlife, plant biology

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

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