Ben Murray
Director at Firmamentum Consulting Ltd
United Kingdom
Summary
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Rockstar🎓
Top SchoolBen Murray is a UK-based technology leader with nine years of formal experience and a two-decade engineering pedigree spanning medical imaging, high-performance computing, actuarial software and genomics platforms. Currently Director at Firmamentum Consulting and a Research Fellow at King’s College London, he blends applied deep learning research (PhD work in medicine) with hands-on delivery of cloud analytics and visualization products. He has led engineering and technical strategy as CTO of a property-analytics startup and as a senior R&D engineer at Seven Bridges Genomics, translating complex scientific problems into production-ready systems. Ben’s background includes patent-influenced work in 3D medical visualization and building scalable non-life pricing software, evidencing both innovation and domain rigor. Comfortable switching between research and product roles, he focuses on bringing advanced ML and cloud architectures into operational use for healthcare, genomics and spatial analytics. Colleagues would note his rare combination of academic depth and practical system-building across startups, enterprise and research institutions.
9 years of coding experience
20 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at The University of EdinburghDoctor of Philosophy - PhD Deep Learning for Medicine, Doctor of Philosophy - PhD Deep Learning for Medicine at King's College LondonB.Sc. (Hons) Computer Science, B.Sc. (Hons) Computer Science at University of Kent
Github Skills (44)
pytorch10
convolutional-neural-networks10
preprocessing10
medical-image-processing10
imaging10
autoencoder10
deep-learning10
segmentation10
medical-image-analysis10
ai10
medical-image-computing10
dax10
tabular10
python9
datasets9
Programming languages (6)
Github contributions (5)
atbenmurray/MONAI
Mar 2023 - Apr 2025
AI Toolkit for Healthcare Imaging
Contributions:204 pushes, 24 branches in 2 years
KCL-BMEIS/ExeTera
Apr 2020 - Jan 2023
Reproducible analysis pipelines for large tabular datasets
Contributions:3 releases, 111 reviews, 421 commits in 2 years 9 months
pipelinedata-sciencepipeline-frameworkmachine-learningreproducible
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