William (Bill) D. Thompson Dept of Psychology cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks
Todd Dawson Dept of Environmental Science, Policy & Management Dept of Integrative Biology physiological plant ecology, evolutionary plant ecology, ecosystem processes, adaptations of plants, carbon, water, nitrogen
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Na Ji Dept of Neuroscience Dept of Physics neuroscience, microscopy techniques, in vivo imaging, biophotonics, biophysics, adaptive optics, optics
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
Cesunica Ivey Dept of Civil and Environmental Engineering atmospheric modeling, exposure monitoring, environmental justice applications, community resilience, climate adaptation and disaster resilience
Jessica Lu Dept of Astronomy black holes, star and cluster formation, galactic centers, adaptive optics, astronomy, instrumentation, infrared instrumentation, astrometry
Susana Chung School of Optometry optometry, low vision, vision science, pattern vision, reading, cortical adaptation and plasticity
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Eyitayo Opabola Dept of Civil and Environmental Engineering civil infrastructure systems, climate change impact, multihazard risk, community resilience, adaptive climate risk mitigation
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
Anne Collins Dept of Psychology learning, decision making, computational modeling, executive functions
Luis Ceferino Dept of Civil and Environmental Engineering multi-hazard risk analysis, reliability of critical infrastructure systems, climate adaptation and disaster resilience, structural engineering, extreme event modeling
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
Daniel A. Portnoy Dept of Molecular & Cell Biology Dept of Plant and Microbial Biology microbiology, bacteriology, infectious diseases, intracellular pathogens, innate immunity, adaptive immunity, vaccines, cell biology
William (Bill) D. Thompson
William (Bill) D. Thompson
William (Bill) D. Thompson
