Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Adrian Aguilera School of Social Welfare mobile technology (mHealth) and mental health, digital health, Latino & minority mental health, health disparities, cognitive-behavioral therapy for depression, machine learning, user centered design, implementation science
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, Applications: transportation; mobile sensing ; connected health
Gašper Beguš Dept of Linguistics computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Van P. Carey Dept of Mechanical Engineering 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.
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning
Luis Ceferino Dept of Civil and Environmental Engineering multi-hazard risk analysis, reliability of critical infrastructure systems, climate adaptation and disaster resilience, structural engineering, extreme event modeling
Carmine Emanuele Cella Dept of Music mathematical representation of musical and acoustic signals, music composition
Jennifer Chayes Dept of Mathematics Dept of Statistics Division of Computer Science (EECS) phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations
Trevor Darrell Division of Computer Science (EECS) artificial intelligence, intelligent systems and robotics, computer vision
Michael DeWeese Dept of Physics Dept of Neuroscience machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Sandrine Dudoit School of Public Health Dept of Statistics statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Laurent El Ghaoui Division of Electrical Engineering (EECS) decision-making under uncertainty, convex optimization, robust optimization, sparse optimization, machine learning, implicit deep learning, lifted deep learning
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Pieter Abbeel
Pieter Abbeel
Pieter Abbeel
