Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
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
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Alexandre Bayen
Alexandre Bayen
Alexandre Bayen
