Curriculum vitae
PhD student (from October 2026) · École Polytechnique
Research
PhD student
Oct 2026 –École Polytechnique
Thesis on RNA–RNA interactions, in particular in the influenza A virus, using machine-learning and computational methods.
Research intern
2025BioMaps, CEA & Université Paris-Saclay
- Built a reproducible 3D CT↔UTE-MRI pipeline and trained 3D CycleGAN variants on 311 CT and 292 MRI training cases.
- Introduced a histogram-aware loss: CT→MRI FID 225.96→217.89, KID 0.1158→0.0969, with ≈23.4 dB PSNR and ≈0.68 SSIM cycle fidelity.
Research intern
Jun – Jul 2024LISN, Université Paris-Saclay
Comparative study of knowledge-graph embedding models (TransE, TransH, DistMult, ComplEx, ConvE) for entity alignment across YAGO, Wikidata, and DBpedia. Project page
Research project
2024LIX, École Polytechnique
Abstraction-based verification of ReLU networks with zones (DBMs) and tropical geometry, evaluated on ACAS Xu. Project page
Research intern
Jun – Aug 2023CIRB, Collège de France
Added triangle-inequality constraints to Phyloformer; cut constraint violations from 15% to under 1% while preserving RF distance. Project page
Education
Master 2 — MVA (Mathematics, Vision, Learning)
2024 – 2025ENS Paris-Saclay
Deep learning for medical imaging, 3D vision, generative models. Grade average 17/20.
Master 1 — Artificial Intelligence
2023 – 2024Université Paris-Saclay
Neural-network verification, NLP, convex optimisation. Grade average 16/20.
BSc — Mathematics & Computer Science (research track)
2021 – 2023Université Paris-Saclay
Statistical learning, algorithms, database systems.
Skills
- Programming
- Python, C++, Julia, OCaml, SQL, Rust, Coq, JavaScript
- ML / DL
- PyTorch, TensorFlow, JAX, MONAI, scikit-learn, Hugging Face
- Infrastructure
- CUDA, Docker, Git, Linux, SLURM, AWS, MLflow, Hydra
- Languages
- French (native), English (C1)