Gabryel Mason-williams
Doctoral Researcher (PhD) at Queen Mary University of London
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolGabryel Mason-Williams is a PhD researcher in AI based in London specializing in interpretability, safety, and efficiency of deep learning models, with eight years’ experience across research and engineering roles. He has a strong publication record with papers at ICLR, NeurIPS and four at ICML, and was awarded a Google Scholarship in 2023. Prior roles at the Rosalind Franklin Institute and Diamond Light Source combine hands-on systems and research software engineering—deploying Ceph clusters, building HPC tooling, and shipping lab-automation ML systems. Gabryel blends rigorous academic training (MSc and PhD work at Queen Mary University) with practical production experience in data infrastructure and edge ML. He has participated in venture and strategy cohorts (Conception X, Fifty Years, BlueDot Impact), showing a flair for translating research into impact. An attention to tooling and reproducibility underpins his work, from synthetic dataset generation for handwriting extraction to scalable object-store deployments.
8 years of coding experience
8 years of employment as a software developer
A levels, A levels at Exeter Maths SchoolDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of LondonComputer Science, Computer Science at University of Plymouth
Github Skills (67)
stream9
image-processing9
datasets9
filesystem9
computer-vision8
ansible8
python8
real-time-data8
fat8
transient7
deep-learning7
ram7
vagrant7
ceph7
jupyter-notebook7
Programming languages (6)
Github contributions (5)
rosalindfranklininstitute/DisTRaX
Jan 2023 - Jul 2024
A fast and scalable deployment tool to create quick and efficient storage systems onto high-performance computing (HPC) compute nodes utilising the compute nodes system memory/storage.
Contributions:116 PRs, 88 pushes, 106 branches in 1 year 5 months
rosalindfranklininstitute/DosNa
Sep 2021 - Feb 2022
Distributed Object Store Numpy Array (DosNa)
Contributions:213 commits, 16 PRs, 38 pushes in 5 months
arraypythonnumpyobject-storedistributed-object-store
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