About Tristan
- Senior data scientist, over 8 years of experience applying AI to healthcare and life sciences
- PhD with strong technical and scientific background from elite universities (Ecole Normale Supérieure, Sorbonne Université)
- Core technical expertise: Deep learning / Bayesian modelling / Causal inference / Uncertainty quantification for decision making
- Recognized through publications in leading international venues such as NeurIPS and the Journal of Neural Engineering
- Experience across deeptech startups and collaborations with major industry players.
I support the design, optimization, and deployment of machine learning models, from research to production systems.
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 50km), Lyon (up to 10km), Paris (up to 10km)
Experience
- Office Français de la BiodiversitéAI-powered animal re-identification platformPUBLIC SECTORDecember 2025 - April 2026 (4 months)Arcachon, FranceDesign and deployment of a comprehensive AI-based solution for the automatic re-identification (aka facial recognition) of seahorses for population monitoring studies for the French Office for Biodiversity.Key achievements:
- Development of an AI pipeline based on few-shot learning for species classification and individual re-identification of seahorses.
- Training of computer vision models for automatic detection and segmentation.
- Fine-tuning of foundation models for species classification and animal re-identification.
- Creation of a comprehensive web platform, as part of a citizen science project involving volunteer scuba divers.
Technologies :Python, PyTorch, Deep Learning (CNN, Vision Transformers), Computer Vision, FastAPI, PostgreSQL, Docker - AtomFlowCTOENERGY AND UTILITIESAugust 2025 - Today (10 months)Lyon, FranceAtomFlow simplifies nuclear regulatory and technical compliance through AI-powered analysis. We offer an AI platform that helps engineers and project managers in nuclear tenders and projects management by : (1) automatically identifying applicable regulatory and technical requirements, (2) evaluating project document compliance against regulatory and technical specifications, (3) generating targeted corrective recommendations, and (4) providing continuous regulatory monitoring. Our target market is nuclear engineering firms and equipment manufacturers across France and internationally. Our sovereign, secure platform combines nuclear domain expertise with advanced AI for semantic document analysis.
- TheremiaHead of AIPHARMACEUTICALS INDUSTRYSeptember 2024 - August 2025 (11 months)Paris, France
- Joined the company at seed stage and led the development of an ML-driven drug optimization platform.
- Built a team of data scientists, machine learning engineers and researchers.
- Led scientific collaborations with world-class research teams in causal ML, PK/PD modeling, neuro-logy and psychiatry.
- Designed and developed a new innovative ML-based pharmacokinetic optimization method to tailor drugs to specific subpopulations.
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Education
- DoctoratSorbonne Université2022Machine learning and neural engineering.
- Master of ScienceSorbonne University2018Master of Science - MS, Applied Mathematics
Certifications
- Machine Learning Engineering for Production (MLOps) SpecializationDeepLearning.AI2022
- Practical Data Science on the AWS Cloud SpecializationDeepLearning.AI2022