Hassan Alhajj

Research Engineer at Hera-MI

France
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Summary

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Senior
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Top School
Hassan Alhajj is a research engineer and AI specialist based in France with 10 years of experience applying machine learning to healthcare. He holds a PhD in Biomedical Engineering and has progressed from developing video-based computer-assisted surgery systems in academia to leading clinical AI initiatives that improve breast cancer screening using multi-modal mammogram and ultrasound fusion. At Hera-MI he built diffusion-model pipelines to synthesize ultrasound data and boost training robustness, and his prior work spans reinforcement learning for surgical simulators and ICU mortality prediction. Always learning, he blends deep research rigor with production-minded engineering to move novel models from prototype to clinically relevant tools. Less obvious: his background in large-scale surgical video datasets (≈2M images) gives him rare expertise in handling temporally rich medical imaging for algorithmic and systems challenges.
code11 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Université de Bretagne Occidentale
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Github Skills (31)

python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
deep-reinforcement-learning10
unity3d10
reinforcement-learning9
imitation-learning9
ml-agents9
keras8
caffe8
toolbox8

Programming languages (5)

TypeScriptC#C++Objective-CPython

Github contributions (5)

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maystroh/RL_cataract

Jul 2019 - Oct 2021

Contributions:35 commits, 2 pushes, 1 comment in 2 years 3 months
maystroh/ai-agents-wiki

Jun 2026 - Jul 2026

Contributions:17 pushes in 1 month
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