Alan Yuille

Alan Yuille is a Bloomberg Distinguished Professor of Cognitive Science and Computer Science at Johns Hopkins University, directing the Computational Cognition, Vision, and Learning (CCVL) research group. He is affiliated with the Center for Brains, Minds and Machines and the NSF Expeditions-in-Computing project Visual Cortex on Silicon.

• BA in mathematics (University of Cambridge, 1976)
• PhD in theoretical physics (University of Cambridge, 1981)
• Former academic roles: MIT/Harvard AI Lab (1982-1996), UCLA Statistics (2002-2016)

His research spans computational models of vision/cognition, medical image analysis, and AI systems. Current work focuses on probabilistic models for object/image understanding, compositional hierarchical algorithms, and machine learning applications to fMRI/medical imaging. CCVL group develops mathematical frameworks for computer vision systems with applications to healthcare and visual perception.

Recent publications (2025) show strong emphasis on medical imaging innovations (tumor segmentation, CT reconstruction), generative AI (diffusion models, 3D scene understanding), and multimodal reasoning systems. Key projects include PanTS dataset creation and Spatial457 benchmark development.

• Bloomberg Distinguished Professor (2016-present)

Former students include Long Zhu (UCLA/Stanford postdoc), Ariana Anderson (UCLA postdoc), and Songfeng Zheng (Missouri State faculty). Current advisees at JHU include Roozbeh Mottagh (Computer Science) and Xiaobai Liu (Statistics). Collaborators span institutions like MIT, UCLA, and Caltech.