معرفی
Grégoire Sergeant-Perthuis is an Associate Professor in the Department of Computer Science at Sorbonne Université, affiliated with the LCQB research center. He collaborates with the Inria team Ouragan and focuses on interdisciplinary research at the intersection of geometry, machine learning, and computational biology. His work explores topics like consciousness modeling, statistical mechanics, and agent behavior control using geometric frameworks.
Education: PhD in Mathematics from Université Paris Cité (supervisor: Daniel Bennequin), followed by postdoctoral research at INRIA Paris, Université d'Artois, and Université de Genève. He is organizing the 'Geometry Topology and Machine Learning' conference in 2026.
Research interests include machine consciousness simulation, hybrid architectures for social intelligence, and categorical approaches to statistical mechanics. He investigates how geometric principles influence curiosity-driven exploration and agent decision-making.
Teaching roles: Responsible for courses in bioinformatics, data science, and discrete mathematics at Sorbonne Université's Master's and undergraduate programs. Recent activities include advising a PhD student and developing resources for probabilistic modeling and algorithmic bioinformatics.
Labs/Teams: Active member of Inria's Ouragan team, specializing in computational geometry and algebraic software systems.
