Louis Pailloncy, AI engineer

Description

AI engineer specialized in healthcare and medical imaging.

Background in applied mathematics (ENSTA – École Polytechnique) with research publications in computational biology and mammography AI.

I combine strong technical expertise with medical knowledge to build clinically relevant and production-ready models.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Bilingue ou natif
Allemand
Capacité professionnelle limitée
Espagnol
Notions

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

GE Healthcare
Deep learning model observer for mammography
CENTRES DE RECHERCHE
avril 2025 - septembre 2025 (5 mois)
Paris, France
• Designed and trained a deep learning model observer for a digital breast tomosynthesis (DBT) mass-lesion detection task
• Implemented and benchmarked multiple architectures and setups in PyTorch Lightning
• Evaluated performance using agreement metrics and clinically relevant validation protocols
• Manuscript currently under preparation for publication
Deep Learning Machine learning Research Latex Mammography
Ecole Polytechnique
Medical imaging
janvier 2025 - mars 2025 (2 mois)
Paris, France
Gathering and preparing clinical (raw) data, studying articles and protocols to solve the inverse problem.
Matlab Mathematics
Instituto Superior tecnico
Mathematical modelling for epidemiology
CENTRES DE RECHERCHE
mai 2024 - août 2024 (3 mois)
Lisbon, Portugal
• Discretized an SIS model with coinfection and diffusion to study virus strain dynamics among a population of hosts
• Formulated the mathematical framework and studied specific scenarios under strengthened assumptions.
• Simulated strain dynamics using python to validate theoretical results
• Manuscript under review:
Python Epidemiology Mathematics ODEs

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S’inscrire pour les voir

Medical degree
Université Paris Cité
2029
Medical degree
Biomedical mathematics
École Polytechnique
2025
MSV : 'Mathématiques pour les Sciences du Vivant' Main courses: Reinforcement learning, Deep learning, Biostatistics, Biology, Cardiac Biomechanics, Research seminars in biomedical mathematics.

Consultez la formation qu'a suivie Louis

Ingénieur IA