Jay Morgan
Tutor at Swansea University
Greater Swansea Area United Kingdom
Summary
👤
Senior🎓
Top SchoolJay Morgan is a computer scientist and educator with 12 years of experience who blends academic rigor with applied machine learning, holding a PhD in Trustworthy AI from Swansea University. Currently tutoring at Swansea, he previously conducted postdoctoral research in France applying ML to heliophysics, demonstrating a niche ability to translate advanced models to domain-specific science. His background spans research roles, technical management, and hands-on IT support, giving him both theoretical depth and practical systems experience. Jay earned an MSc with distinction and a BSc in Computer Science, and also holds technical training in animation and interactive technologies, an unusual combination that enhances his approach to data visualization and communication. He is driven by trustworthy, explainable AI for scientific problems and by mentoring the next generation of researchers and engineers.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Bangor UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Swansea UniversityBachelor of Technology (BTech), Animation, Interactive Technology, Video Graphics and Special Effects, Bachelor of Technology (BTech), Animation, Interactive Technology, Video Graphics and Special Effects at Gower College Swansea
English
Stackoverflow
25reputation
754reached
2answers
3questions
Github Skills (47)
artificial-intelligence9
pytorch9
python9
machine-learning9
ai9
deep-learning9
major-mode9
graph-neural-network9
sun9
graph-convolutional-networks8
solar8
homebrew8
pretrain8
dcos8
geometric-deep-learning8
Programming languages (8)
Github contributions (5)
jaypmorgan/jaypmorgan
Jul 2020 - Jan 2025
Contributions:9 pushes, 1 branch in 4 years 7 months
jaypmorgan/adaptive-neighbourhoods
Sep 2022 - Jul 2024
Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.
Contributions:6 PRs, 42 pushes, 6 branches in 1 year 10 months
adversarial-attacksadversarial-learningdeep-learningmachine-learning
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