Dominic Williamson
PhD Candidate
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDominic Williamson is a PhD candidate and applied machine learning researcher at UCL focused on linking retinal imaging biomarkers to systemic disease using ML, supervised by Pearse Keane and Daniel Alexander. With an MSc (Distinction) in AI from Imperial and a first-class BSc in Theoretical Physics, he brings eight years of interdisciplinary experience spanning computer vision for brain MRI, computational chemistry simulations, and clinical AI at Moorfields and the INSIGHT Eye Hub. He has hands-on expertise building convolutional neural networks in PyTorch, transfer learning pipelines, and deploying research in clinical research environments. Dominic combines rigorous theoretical training with practical data science skills and a knack for translating complex biomedical signals from the eye into actionable models for healthcare. An underappreciated strength is his track record of publishing and contributing to high-impact lab work early in his career, including a chemistry paper that featured on a journal front cover.
8 years of coding experience
BSc (Hons), Physics with Theoretical Physics, First Class, BSc (Hons), Physics with Theoretical Physics, First Class at The University of ManchesterMSc, Artificial Intelligence, Distinction, MSc, Artificial Intelligence, Distinction at Imperial College LondonUniversity College London
Github Skills (9)
anaconda9
pyqt8
ide8
spyder8
development-environment8
language-server-protocol8
qt7
python7
python-development7
Programming languages (1)
Github contributions (5)
dominicwllmsn/MRI_transferlearn
Dec 2019 - Feb 2020
Contributions:15 commits, 12 pushes, 1 branch in 2 months
dominicwllmsn/markovchain_simulations
Apr 2019 - Feb 2020
Contributions:11 pushes, 1 branch in 10 months
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