Mathilde Papillon

Mathilde Papillon is a physics PhD candidate at UC Santa Barbara's Geometric Intelligence Lab, where she researches non-Euclidean and topological deep learning applied to human motion. She is currently a Research Fellow at Goodfire, an AI interpretability company, and previously served as the AI Research Scientist for the Los Angeles Dodgers within their Department of Baseball Innovation. She is a co-author of the survey "Architectures of Topological Deep Learning" and the guide "Beyond Euclid," both of which are widely cited works in the geometric and topological machine learning literature.