Benjamin Irving

Senior Engineering Manager - Applied Machine Learning at Hudl

Oxford, England, United Kingdom
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Summary

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Benjamin Irving is a Senior Engineering Manager specializing in applied machine learning for medical imaging and computer vision, with 12 years of experience bridging academic research and commercial product delivery. He has led multidisciplinary teams to translate novel imaging and ML methods into regulated, real-world healthcare applications—from FDA-cleared tools and MHRA-pathway lateral flow readers to phone-camera patient monitoring and EHR/LLM-driven analytics. Trained with a PhD in computer vision and grounded in physics and biomedical engineering, he combines deep technical authorship (Quantiphyse, research methods like maskSLIC) with hands-on productisation and team leadership. Known for tackling problems across scales—from microscopy to MRI to consumer devices—he balances prototyping speed and regulatory rigour to improve patient outcomes. Based in Oxford, he brings a track record of shipping high-impact ML systems in both startups and clinical settings.
code12 years of coding experience
job12 years of employment as a software developer
bookMSc Biomedical Engineering and medical imaging, MSc Biomedical Engineering and medical imaging at University of Cape Town
bookUniversity College London
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Stats
303reputation
72kreached
8answers
1question
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Github Skills (79)

python10
image-processing10
statistics10
nifti10
computer-vision10
mri10
gz10
neuroscience10
jpeg10
dicom10
image10
converter10
machine-learning10
neuroimaging10
scikit9

Programming languages (5)

C#C++JavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:28 commits, 6 pushes in 4 months
Early exploration of detecting signs of lung pathology in COVID-19 Lung CT cases
Contributions:1 release, 13 commits, 1 PR in 6 months
pytorchcasesdeep-learningunet-segmentationcomputer-vision
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Benjamin Irving - Senior Engineering Manager - Applied Machine Learning at Hudl