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Andrew Gordon Wilson is a professor at the Courant Institute of Mathematical Sciences and the Center for Data Science at New York University. His research primarily focuses on the dynamics of deep learning and empirical science, particularly in understanding theoretical aspects such as generalization bounds and scaling laws. With a solid foundation in rigorous mathematics and physics, Andrew aims to develop prescriptive approaches to building autonomous intelligent systems. His research encompasses a range of initiatives aimed at achieving actionable understanding in machine learning, deep learning models, and their applications in various fields. In addition to his technical work, Andrew is a classical pianist, enjoying performances of Bach, particularly by Glenn Gould.
New York University • New York
Research and teaching in the areas of deep learning, generalization theory, and the development of autonomous intelligent systems.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.