Ishak Ayad
Chercheur Postdoctoral at CentraleSupélec
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolIshak Ayad is a postdoctoral researcher at CentraleSupélec and Inria (Université Paris-Saclay) specializing in inverse problems, image reconstruction, medical machine learning, and multimodal learning, with eight years of experience bridging mathematical theory and deep learning practice. He earned his PhD in Mathematics and Computer Science from CY Cergy Paris Université, where his thesis improved CT image reconstruction using deep learning and optimization techniques, and he received the MICCAI Young Scientist Award in 2024. His background includes teaching-research roles and R&D internships focused on denoising, 3D segmentation, and cardiac modeling, reflecting strong applied skills in medical imaging pipelines. Ranked top of his class in undergraduate studies and second in his research master's cohort, he combines rigorous mathematical training with hands-on algorithm development. Based in Paris, he is known for turning theoretical insights into practical reconstruction methods that improve clinical imaging quality.
8 years of coding experience
1 year of employment as a software developer
Docteur en mathématiques et informatique, Deep Learning, Imagerie médicale, Docteur en mathématiques et informatique, Deep Learning, Imagerie médicale at CY Cergy Paris UniversitéBAC en mathématiques, BAC en mathématiques at Lycée Mohammed Bounaama Tissemsilt
Arabic, French, English, Spanish
Github Skills (25)
artificial-intelligence10
robotics10
alarm10
clock10
computer-vision10
machine-learning9
natural-language-processing9
deep-learning9
chainer7
deep-neural-networks7
keras6
pytorch4
gluon4
cupy4
tensorflow4
Programming languages (4)
Github contributions (5)
DJAHIDDJ13/MicroMouse
Oct 2019 - Jun 2020
Contributions:159 commits, 118 pushes in 7 months
Ishak96/Deformable_surfaces
Sep 2019 - Sep 2022
Contributions:39 commits, 37 pushes, 1 branch in 3 years
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