Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

William Jagust

Dept of Neuroscience

neuroscience, cognition, brain aging, dementia, imaging, Alzheimer's disease

Chunlei Liu

Division of Electrical Engineering (EECS)

brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing

Mark D'Esposito

Dept of Psychology

cognitive neuroscience, psychology, working memory, frontal lobe function, functional MRI, neurology, brain imaging, dopamine

Daniela Kaufer

Dept of Integrative Biology

Dept of Neuroscience

neuroscience, aging, dementia, stress, epilepsy, traumatic brain injury, blood brain barrier, resilience, trauma, psychedelics, glia, myelin

Jack L. Gallant

Dept of Neuroscience

computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding

Steven Conolly

Division of Electrical Engineering (EECS)

instrumentation, medical imaging reconstruction, contrast, MRI, Magnetic Particle Imaging

Silvia Bunge

Dept of Psychology

cognition, human brain function, development

Laura Waller

Division of Electrical Engineering (EECS)

computational optical imaging, light field cameras, metrology and inspection, phase retrieval, inverse problems in imaging, optical coherence theory, 3D imaging and display

Eric Betzig

Dept of Molecular & Cell Biology

Dept of Physics

imaging microscopy, biophysics

Niren Murthy

Dept of Bioengineering

molecular imaging, drug delivery

Michael (Miki) Lustig

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

medical imaging, MRI, compressed sensing

Robert Tjian

Dept of Molecular & Cell Biology

eukaryotic molecular biology; biochemistry, cellular differentiation, chromatin function, RNA synthesis, single cell imaging, single molecule imaging

Annaliese Beery

Dept of Integrative Biology

Dept of Neuroscience

hormones and behavior, brain and behavior, social behavior, environment, experience/exposures, neuroscience

Yang Dan

Dept of Molecular & Cell Biology

Dept of Neuroscience

neuronal circuits, mammalian visual system, electrophysiological, imaging, prefrontal cortex, sleep

Robert W. Levenson

Dept of Psychology

aging, gender, culture, brain, psychology, emotion, psychophysiology, marriage, clinical science, interpersonal interactions, dementia, relationships, neurodegenerative disease

Jose M. Carmena

Division of Electrical Engineering (EECS)

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

Markita del Carpio Landry

Dept of Chemical & Biomolecular Engineering

Dept of Neuroscience

nanomaterials, fluorescence microscopy, sensors, imaging, neuroscience, plant engineering

Na Ji

Dept of Neuroscience

Dept of Physics

neuroscience, microscopy techniques, in vivo imaging, biophotonics, biophysics, adaptive optics, optics

Gregory W. Aponte

Dept of Nutritional Sciences & Toxicology

health and nutrition, nutritional sciences, signaling between the gut and the brain, neuropeptides, G-protein coupled receptors

Ronald Dahl

School of Public Health

adolescence, brain development, behavioral and emotional health, pubertal maturation, affective neuroscience, social neuroscience

Evan Variano

Dept of Civil and Environmental Engineering

fluid mechanics, turbulence, wetlands, imaging, plankton, sediment transport

Georjana Barnes

Dept of Molecular & Cell Biology

biochemistry, genetics, cancer, biology, microtubule cytoskeleton, cell cycle controls, cellular imaging

Boris Rubinsky

Dept of Bioengineering

Dept of Mechanical Engineering

medical imaging, biotechnology, biomedical engineering, low temperature biology, micro and nano bionic technologies, electrical impedance tomography, bio-electronics, biomedical devices biomedical numerical analysis, bio-heat and mass transfer, electroporation light imaging

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

Brian A. Barsky

Division of Computer Science (EECS)

School of Optometry

computer science, geometric design and modeling, computer graphics, computer aided cornea modeling and visualization, medical imaging, virtual environments for surgical simulation

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