Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
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
Shannon Jackson Dept of History of Art Dept of Rhetoric Dept of Theater, Dance, and Performance Studies rhetoric, performance studies, American studies, 20th century art movements and critical theory, local culture and intercultural citizenship in turn-of-the-century United States, history and theory of theatre and performance art
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Daniela Cammack Dept of Political Science ancient Greek democracy, Roman politics, the history of democracy and constitutionalism
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
Teresa Head-Gordon Dept of Bioengineering Dept of Chemical & Biomolecular Engineering Dept of Chemistry Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Susanna Elm Dept of History history of the Later Roman Empire, pagan - Christian interactions, ancient medicine, slavery and the evolution of Christianity, leadership and empire, gender and imperial rule, reception of antiquity
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Kurt Keutzer
