Publications: 'Backward Conformal Prediction' accepted at NeurIPS 2025; 'E-Values Expand the Scope of Conformal Prediction' presented at the OCEAN Summer Retreat; 'Statistical Collusion by Collectives on Learning Platforms' selected for an oral presentation at ICML 2025; Selected as a Google PhD Fellow in Machine Learning and ML Foundations.
Research Experience
Involved in multiple research projects, including his doctoral research at Inria and ENS Ulm; Presented talks at various international conferences such as the 2025 Joint Meeting of the Taipei International Statistical Symposium and the 13th ICSA International Conference, NeurIPS 2025, etc.
Education
Master's degree: Mathematics, Vision, and Learning, ENS Paris-Saclay; Engineer's degree (Cycle Ingénieur Polytechnicien): Applied Mathematics, with a focus on Mathematics and Computer Science, École polytechnique; Conducted research on representation theory during a visit to the Kyoto University Institute for Advanced Study.
Background
Research Interests: Decision-making in multi-agent systems; Specialties: Machine learning, statistics, and game theory; Bio: A second-year PhD student in the Sierra team at Inria and ENS Ulm, supervised by Francis Bach and Michael I. Jordan.
Miscellany
Personal Interests: Participating in research conferences and academic activities around the world.