Marcia C. Linn School of Education artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
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
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Jitendra Malik Division of Computer Science (EECS) computer science, electrical engineering, vision science, computer vision, robotics
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Ronald Amundson Dept of Environmental Science, Policy & Management soils, environmental science, isotope biogeochemistry, pedology, environmental history & ethics, soilsbiogeochemistry, ecosystems
David Bamman School of Information natural language processing, machine learning, digital humanities, computational social science, data science
Massimo Mazzotti Dept of History history of science, History of Mathematics, history of technology, science and society, science studies, STS
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Tesha Sengupta-Irving School of Education STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research
Steven Weber Dept of Political Science School of Information political science, international security, international political economy, information science
Avideh Zakhor Division of Electrical Engineering (EECS) signal processing, image processing, computer vision, Deep Learning
Benjamin Wong Blonder Dept of Environmental Science, Policy & Management climate change, science education
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
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Raymond Jeanloz Dept of Astronomy Dept of Earth and Planetary Science planetary geophysics, high-pressure physics, national and international security, science-based policy
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
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Marcia C. Linn
Marcia C. Linn
Marcia C. Linn
