Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Alberto Sangiovanni-Vincentelli Division of Electrical Engineering (EECS) Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
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
Richard H. Kramer Dept of Neuroscience Neurons, synaptic transmission, photopharmacology, ion channels, action potentials, optical imaging, vision, learning and memory, retina, neurodegenrative disease(1551)
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Maria Laura Delle Monache Dept of Civil and Environmental Engineering control, transportation, traffic flow theory and control, nonlinear partial differential equations, mathematical modeling, mixed autonomy transportation
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Venkat Anantharam Division of Electrical Engineering (EECS) game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Alane Suhr Division of Computer Science (EECS) artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Amanda Coston
Amanda Coston
Amanda Coston
