Evan R. Williams Dept of Chemistry spectroscopy, molecular structure and dynamics, analytical chemistry, biophysical chemistry, structure and reactivity of biomolecules and biomolecule/water interactions, mass spectrometry, separations, protein conformation, protein and DNA sequencing
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
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
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
Roberto Horowitz Dept of Mechanical Engineering adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
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
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
Anne Collins Dept of Psychology learning, decision making, computational modeling, executive functions
Alane Suhr Division of Computer Science (EECS) artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Evan R. Williams
