Mark Graham
Research Engineer at Google DeepMind
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMark Graham is a research engineer focused on computer vision for healthcare, with 11 years of experience spanning academia, start-ups, and now Google DeepMind. He combines a PhD in computer science from UCL and a physics background from Cambridge to develop generative models for medical imaging, with particular expertise in unsupervised abnormality detection. His work has applied simulated MRI data, open-source tooling, and productionised AI in ophthalmology, and included a year-long secondment contributing to over 25 COVID-era publications. Equally comfortable publishing research and shipping clinical AI products, he brings a blend of rigorous simulation experience and practical deployment know-how to bridge lab ideas and real-world healthcare impact.
11 years of coding experience
11 years of employment as a software developer
BA + MSci, Physics, BA + MSci, Physics at University of CambridgeUniversity College London
Github Skills (58)
pytorch10
simulate10
tomography10
anomaly-detection10
python10
image-synthesis10
medical-image-processing10
machine-learning10
image-translation10
weighted10
generative-adversarial-network10
imaging10
deep-learning10
segmentation10
medical-image-computing10
Programming languages (4)
Github contributions (5)
marksgraham/markgraham539.github.io
Jul 2014 - Jul 2016
Contributions:30 commits, 3 PRs, 15 pushes in 2 years
marksgraham/OCT-Converter
Aug 2019 - Jan 2023
Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.
Contributions:17 releases, 38 reviews, 118 commits in 3 years 6 months
pythonproprietaryoctzeissfda
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