Find UC Berkeley Faculty

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

machine learning, data science, artificial intelligence

computational geometry, mesh generation, machine learning, numerical methods, physically-based animation

visual perception, computational neuroscience, computational vision

machine learning theory, optimization, statistics, deep learning

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

artificial intelligence, machine learning

artificial intelligence, cyber-physical systems and design automation, computer architecture & engineering

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

algorithms, fluid mechanics, nonlinear dynamics, atmospheric flows, convection, ocean flows, numerical analysis, wind energy, Bayesian optimization, neural networks, turbulence, planet formation, internal gravity waves, inertial waves, desalination, protoplanetary disks

neural basis of perception, neuroscience, neurobiology

neural crest gene regulatory network, vertebrate embryonic development, regeneration of tissue

cognitive neuroscience, language, physiology, memory, attention, psychology, working memory, neuropsychology, human prefrontal cortex, neural mechanisms of cognitive processing, sensory gating, sustained attention, ad novelty detection

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

neurobiology, RNA splicing, synaptic plasticity, psychedelic biology, electrophysiology, two-photon imaging, molecular genetics, molecular biology

artificial intelligence, intelligent systems and robotics

machine learning, statistical learning theory, adaptive control

genetics and genomics, evolution of animals, genetic diversity in animals and plants

mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling

signal processing, image processing, computer vision, deep learning