Gergely Szucs

Gergely Szucs is a mathematician who transitioned into AI safety research. He received his PhD in Mathematics from Stanford University in 2018, where his dissertation focused on the equivariant cobordism category under advisor Søren Galatius. After graduating he worked as a software engineer at Google before moving into AI alignment research. He spent approximately two years working with Vanessa Kosoy on the Learning Theoretic Agenda as part of ALTER-US, a project supporting learning-theoretic approaches to AI safety. His research focused on Infra-Bayesian approaches for mathematical AI safety, including work on infrabayesian physicalism. He co-organized a recorded lecture series on statistical learning theory for alignment researchers and prepared course materials for an AI safety workshop in summer 2024. He received a grant from the Long-Term Future Fund to develop an overview of the current state of AI alignment research and begin contributing to the field. As of mid-2025, he departed ALTER to pursue interests outside of mathematics and AI alignment.

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