Axel Masquelin
K00 Post-Doctoral Fellow Harvard Medical School Brigham And Women's Hospital at Brigham and Women's Hospital
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAxel Masquelin is an applied machine learning scientist and K00 postdoctoral fellow at Harvard Medical School with a decade of experience building scalable AI for biomedical imaging and clinical translation. He holds a PhD in Bioengineering and has led projects that fuse GWAS and LDCT imaging, pretraining Vision Transformers with self-supervision on limited CT datasets to boost cancer detection sensitivity while preserving specificity. Comfortable working at the intersection of clinicians, experimentalists, and engineers, he designs models with real-world constraints in mind and emphasizes robust validation, interpretability, and subgroup generalizability. His work has improved downstream classification accuracy and prioritized nodule intervention decisions, and he has a track record of securing competitive NIH funding and translating wet-lab needs into automated ML solutions. Based in Boston, Axel combines deep technical expertise in multi-modal modeling and cloud ML pipelines with a pragmatic focus on ethical, clinically actionable AI.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD (Candidate), Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD (Candidate), Bioengineering and Biomedical Engineering at University of VermontBioengineering and Biomedical Engineering, Bioengineering and Biomedical Engineering at Purdue University
English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (1)
imaging1
Programming languages (1)
Github contributions (5)
thayeral/radiomics
Oct 2018 - Dec 2018
Contributions:51 commits in 1 month
axemasquelin/axemasquelin
Jul 2021 - Feb 2024
Contributions:28 pushes, 1 branch in 2 years 7 months
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