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Resume (English only)
Academic Achievements
- April 2025: Visiting Aaditya Ramdas @ CMU to work on extensions of Conformal Prediction.
- February 2025: Granted three scholarships (ANITI, EUR Mint & ED-MITT) for a future research stay abroad.
- Published a new article on improving robust CP with Lipschitz Networks, available on HAL: https://hal.science/hal-04936823/
Research Experience
Involved in multiple research projects including robust conformal prediction using Lipschitz-by-Design Neural Networks, application of conformal prediction for railway signal detection, etc.
Education
PhD Candidate at Institut de Mathématiques de Toulouse and SNCF through the DEEL project.
Background
Research interests: developing trustworthy AI systems, particularly for safety-critical transportation applications. Interested in distribution-free uncertainty quantification (e.g., conformal prediction), robustness, explainability, and related fields.
Miscellany
Quoted Marquis de Laplace on intelligence; contact email is leo.andeol [at] math.univ-toulouse.fr; based in Toulouse, France.