Find UC Berkeley Faculty

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

artificial intelligence, machine learning

theoretical chemistry, electronic structure calculations, development of novel theories and algorithms, quantum mechanics

physics, standard model of particle physics, symmetries of nature, symmetry of the electroweak interaction, spacetime symmetries: weak scale supersymmetry, constrained theories for the quark and charged lepton masses, supersymmetric theory

machine learning theory, optimization, statistics, deep learning

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

A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism