Mikaël Simard
Senior Research Fellow at UCL
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolMikaël Simard is a physicist-turned-clinical scientist with nine years’ experience applying image reconstruction, computer vision and deep learning to quantitative medical imaging across pathology, CT, MRI and proton radiography. Based in London, he combines academic rigor (PhD, multiple fellowships at UCL and Université de Montréal) with NHS-facing roles to translate computational methods into diagnostic and radiotherapy workflows. He has led dataset curation and model development for single-cell and sarcoma subtype classification, designed iterative and real-time reconstruction approaches for proton imaging, and supervised students from undergraduate to postdoc levels. Comfortable in Python and Matlab, Mikaël bridges simulation, statistical reconstruction and deep learning to solve clinically relevant imaging problems—often working at cross-scale interfaces from whole-slide pathology to particle imaging.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Université de MontréalBachelor of Engineering (B.Eng.), Engineering physics, Bachelor of Engineering (B.Eng.), Engineering physics at École Polytechnique de MontréalMaster's Degree, Medical Physics, Master's Degree, Medical Physics at McGill University
English, FrenchProgramming languages (2)
Github contributions (5)
mikaelsimard5/Immunocto
Apr 2024 - Dec 2024
Contributions:26 pushes, 1 branch, 1 comment in 7 months
cacof1/DigitalPathologyPreprocessing
Dec 2022 - Sep 2023
Artifact, blurring and colour normalisation
Contributions:1 PR, 1 branch in 9 months
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