Yaël Balbastre

Newton International Fellow

London, England, United Kingdom
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Summary

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Senior
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Yaël Balbastre is a biomedical image analysis scientist and engineer with 13 years’ experience developing statistical MRI segmentation, image registration and morphometry tools across academic centres in Europe and the US. Trained in applied mathematics and computer science (ENSIMAG) and holder of a PhD from Paris‑Saclay, Yaël led validation of macaque brain morphometry pipelines at CEA and later advanced multimodal MRI–histology registration and high-resolution tissue image processing at UCL, MGH/HST Martinos Center and Harvard. Funded as a Newton International Fellow in London, they bridge rigorous algorithm development (C/C++, Python, CMake) with practical neuroimaging applications in neurodegeneration models. Notably, their work combines whole‑slide histology reconstruction with voxel‑wise MRI analysis, enabling cross‑scale quantitative comparisons that are rarely integrated so tightly in academic pipelines.
code13 years of coding experience
job3 years of employment as a software developer
bookClasse préparatoire, Physics and Industrial Science, Classe préparatoire, Physics and Industrial Science at Lycée Gustave Eiffel
bookUniversity Degree (DU), Translational Research in Neuroscience, University Degree (DU), Translational Research in Neuroscience at Paris-Sud University
bookEngineer's Degree, Mathematical Modeling, Image, Simulation, Engineer's Degree, Mathematical Modeling, Image, Simulation at ENSIMAG - Grenoble INP
bookDoctor of Philosophy (PhD), Biomedical Image Analysis, Doctor of Philosophy (PhD), Biomedical Image Analysis at Paris-Saclay University
languagesFrench, English
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Github Skills (68)

spline-interpolation10
routines10
neuroimaging10
electrophysiology9
mri9
computational-neuroscience9
specification9
deep-learning9
bids9
pytorch9
imaging9
viewer9
data-structure9
biology9
image-translation9

Programming languages (9)

JuliaTypeScriptC++ShellCTeXMATLABPython

Github contributions (5)

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balbasty/cornucopia

Jul 2022 - Dec 2022

An abundance of augmentation layers
Contributions:3 releases, 4 reviews, 82 commits in 5 months
balbasty/auxiliary-functions

Sep 2017 - Nov 2019

Contributions:45 pushes in 2 years 2 months
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