I am an Associate Professor at the CQSB which is part of the Computer Science department of Sorbonne Université, and also a collaborator of the Inria team Ouragan. I work at the intersection of geometry and machine learning, with applications in computational biology and cognitive robotics. Before that I did a postdoc at INRIA Paris (team Ouragan) with Elias Tsigaridas, at Université d'Artois and Median Technologies (LML and iBiopsy) with Yael Frégier and Pierre Baudot and at Université de Genève (CISA) with David Rudrauf. I did my PhD in Mathematics at Université Paris Cité under the supervision of Daniel Bennequin (Full text, Slides of Defence).
- Research and supervision: CV, Google Scholar
- Ressources around teaching.
- "Geometry Topology and Machine Learning" conference at Sorbonne Université, Paris, from May 17 to May 21, 2027. Feel free to join!
- Geometry and Machine Learning 4 (GML27), Paris 2027
- Geometry and Machine Learning 3 (GML26), Paris 2026
- Geometry and Machine Learning 2 (GML25), Paris 2025
- Geometry and Machine Learning (GML), Scalea 2024
Email: gregoire.sergeant-perthuis[a.t]sorbonne-universite[d.o.t]fr
The Geometry and Machine Learning conference series:
The conference serves as a gathering point for researchers interested in studying machine learning and deep learning from a geometric perspective and, more generally, from a mathematical viewpoint, as well as applying geometric and mathematical tools in machine learning in a broad sense. Geometry is understood in a broad sense, encompassing but not limited to algebraic and topological tools for continuous and discrete structures.
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