Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
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
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
James Olzmann Dept of Molecular & Cell Biology Dept of Nutritional Sciences & Toxicology lipid droplet, lipotoxicity, ferroptosis, ubiquitin, proteasome, ER protein quality control, metabolism, cancer, drug resistance, metabolic disease
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Khalid M. Mosalam Dept of Civil and Environmental Engineering bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning
James W. Rector Dept of Civil and Environmental Engineering geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas
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 Bilder Dept of Molecular & Cell Biology genetics, cancer, Drosophila, cell biology, cell polarity, tumor suppressor, epithelial architecture, polarity, proliferation control, tumor-host interaction, morphogenesis
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Tarek Zohdi Dept of Mechanical Engineering advanced manufacturing, 3D printing systems, fire propagation and control, UAVs and swarms, ballistic fabric shielding, food-system modeling, pandemic modeling
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Richard Ivry Dept of Neuroscience Dept of Psychology cognitive neuroscience, behavior, cognition, brain, attention, coordination, psychology, motor and perceptual processes in normal and neurologically impaired populations, temporal processing, executive control
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Clark Nguyen Division of Electrical Engineering (EECS) electrical engineering, computer sciences, integrated circuits, sensors, micro electromechanical systems, signal processors, frequency control, RF communications, micromachining technology
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
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
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Xiao-Jun Zhang Haas School of Business security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing
Jonathan Shewchuk Division of Electrical Engineering (EECS) scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation
Stuart J. Russell
Stuart J. Russell
Stuart J. Russell
