What we work on
Research areas
Our faculty advance both the foundations of machine learning and its application across the sciences.
Theoretical Foundations of AI
Statistical and probabilistic learning and causal inference.
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Generative AI
Designing foundational approaches for modeling and generating an uncertain world.
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Computer Vision
Learning to interpret images and video, from scene understanding to generative models.
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Natural Language & Cognition
Language understanding, interpretability, and computational models of human cognition.
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Robotics & Reinforcement Learning
Agents that learn to act, optimization, and the theory of learning dynamics.
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ML for Science
Applications in genomics, physics, climate, and health.
Faculty