Andrew Gordon Wilson

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Andrew Gordon Wilson CV Bio Papers Talks Group Join Teaching Code Note to prospective PhD students: in the upcoming application cycle (admission for 2026-2027), I am primarily interested in the theory and empirical science of deep learning. The following papers are representative of these interests: (1) generalization bounds for understanding scaling laws; (2) the science of scaling; (3) numerical methods for deep learning. A rigorous mathematics or physics training is typically the best fit for research with me. I aim to develop a prescriptive approach to building autonomous intelligent systems. This effort involves a variety of different research initiatives, which cumulatively work together towards achieving this vision. A major theme that unifies many of these initiatives is a desire for an actionable understanding, so that we can select for particular properties aligned with our goals. These areas, and some example papers, include: • Understanding deep learning models, includ

CV Bio Papers Talks Group Join Teaching Code Note to prospective PhD students: in the upcoming application cycle (admission for 2026-2027), I am primarily interested in the theory and empirical science of deep learning. The following papers are representative of these interests: (1) epiplexity, a new measure of information for data selection; (2) generalization bounds for understanding scaling laws; (3) the science of scaling; (4) numerical methods for deep learning. A rigorous mathematics or physics training is typically the best fit for research with me. I aim to develop a…

Andrew Gordon Wilson

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