Solal Baudoin
Ai Research Scientist @Paris Digital Lab
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WORK HISTORY
Ai Research Scientist @Paris Digital Lab
Developing state-of-the-art diffusion models for synthesizing realistic clinical data from 500K+ patient journeys at France\'s largest private hospital group. Designed a calibrated statistical evaluation framework using equivalence testing to rigorously assess fidelity, utility, and privacy of generated data. Built the end-to-end production pipeline automating data preparation, model training, generation, and validation.
EDUCATION
Lycée Pasteur • Neuilly-sur-Seine
MPSI-MP, Preparatoty classes in Mathematics, Physics and Theoretical Computer Science
CentraleSupélec
MSc-Engineering CentraleSupélec
Ecole Jeannine Manuel
Baccalauréat option internationale, Mathématiques, Mathématiques Expertes, Physique-Chimie et Sciences de la Vie et de la Terre
Université Paris-Saclay
MSc-Engineering CentraleSupélec
Lycée Saint Louis
MP*, Preparatoty classes in Mathematics, Physics and Theoretical Computer Science
ABOUT SOLAL BAUDOIN
Engineering student at CentraleSupélec (Université Paris-Saclay, 12th Shanghai Ranking, 2nd in mathematics) in Research Track.Selected for the Paris Digital Lab track, designing MVPs for startups and corporate partners.Currently a Research Assistant at the LGI Lab (CentraleSupélec), where I am first author of a paper introducing a reliability-focused code generation benchmark (ESREL 2026, under review). My research focuses on LLM evaluation, synthetic data generation, and fine-tuning pipelines.I also teach mathematics as an oral examiner in CPGE (Lycée Pasteur) and organized AI training sessions for up to 100 students as part of the Automatants association.Open to international research internships in LLM training.
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