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
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Alan H. Schoenfeld School of Education thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Xiudi Li School of Public Health causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
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
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
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Anne Collins Dept of Psychology learning, decision making, computational modeling, executive functions
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Michael Silver Dept of Neuroscience School of Optometry cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging
Dor Abrahamson School of Education mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Angjoo Kanazawa
