Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Ali Mesbah Dept of Chemical & Biomolecular Engineering model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
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
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
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
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health