Léonie Borne is a Data Scientist with 10 years' experience applying machine learning and deep learning to medical imaging and audio, currently building AI-driven healthcare solutions at Pulse Audition. She combines a PhD in medical image analysis with hands-on R&D—from designing 3D UNet-based cortical segmentation pipelines used internationally to developing unsupervised methods for large multimodal neuroimaging cohorts. Léonie has led DeepTech product definition and federated-learning projects (NeuroPin), managed small technical teams, and secured competitive research funding, demonstrating both scientific rigor and product-minded delivery. Her background spans academia and industry across France and Australia, and she brings a practical knack for speeding up models (e.g., 15x faster segmentation) while maintaining clinical-grade accuracy.
10 years of coding experience
3 years of employment as a software developer
Biology, Chemistry, Physics, Earth Sciences, Biology, Chemistry, Physics, Earth Sciences at CPGE au Lycée Pierre Corneille (Rouen)
Ph.D. in medical image analysis, Ph.D. in medical image analysis at Université Paris-Saclay
Baccalauréat Scientifique, spécialité Mathématiques, Mention Très Bien, Baccalauréat Scientifique, spécialité Mathématiques, Mention Très Bien at Lycée George Dumézil (Vernon)
Engineering diploma, Engineering and Health: People, Bioproducts and Environment, Engineering diploma, Engineering and Health: People, Bioproducts and Environment at AgroParisTech - Institut des sciences et industries du vivant et de l'environnement
Research master in computer sciences, Informatics: Intelligent Systems, Research master in computer sciences, Informatics: Intelligent Systems at Université Paris Dauphine
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.