Léonie Borne

Data Scientist

Antibes, Provence-Alpes-Côte d'Azur, France
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookBiology, Chemistry, Physics, Earth Sciences, Biology, Chemistry, Physics, Earth Sciences at CPGE au Lycée Pierre Corneille (Rouen)
bookPh.D. in medical image analysis, Ph.D. in medical image analysis at Université Paris-Saclay
bookBaccalauréat Scientifique, spécialité Mathématiques, Mention Très Bien, Baccalauréat Scientifique, spécialité Mathématiques, Mention Très Bien at Lycée George Dumézil (Vernon)
bookEngineering 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
bookResearch master in computer sciences, Informatics: Intelligent Systems, Research master in computer sciences, Informatics: Intelligent Systems at Université Paris Dauphine
languagesFrench, English, Spanish
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Github Skills (47)

python10
data-science10
statistics10
machine-learning10
source-separation10
data-analysis10
decomposition9
scikit9
scikit-learn9
prologue9
audio8
apply8
abaqus8
chainer7
pytorch7

Programming languages (6)

CSSSCSSHTMLJupyter NotebookCythonPython

Github contributions (5)

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LeonieBorne/plstuto

Jun 2020 - Jun 2020

Tutorials to apply cross decomposition methods in python
Contributions:37 commits, 17 PRs, 30 pushes in 23 days
decompositionpythonapplypython3decomposition-methods
A Jekyll version of the "Prologue" theme by HTML5 UP
Contributions:213 pushes, 1 branch in 1 month
prologuejekylljekyll-themehtml5
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Léonie Borne - Data Scientist