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 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
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Van P. Carey Dept of Mechanical Engineering mechanical engineering, statistical thermodynamics, near-interface micro- and nanoscale thermophysics and transport in liquid-vapor systems, computational modeling and simulation of energy conversion and transport processes at scales ranging from the molecular level to the device and system level, use of machine learning to enhance energy technology research and the efficiency of energy conversion and transport in applications, and use of machine learning to create next-generation energy technologies that autonomously adapt to maximize their performance and reduce their environmental impact .
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning
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 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 Helen Wills Neuroscience Institute machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Sandrine Dudoit Berkeley 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
Joseph Gonzalez Division of Computer Science/EECS artificial intelligence, database management systems
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making