WorkResearch Engineer · University of Glasgow · Apr 2025 — Present
Enhancing the Glasgow ECG Analysis Program心電図
Deep-learning signal analysis for one of the longest-running clinical ECG programs.
The Glasgow program has interpreted electrocardiograms for over fifty years and processes millions of recordings a year across licensed devices and research studies. I build the deep-learning signal-analysis layer on top of it — and bring decades-old, safety-critical code into a reproducible, well-tested workflow.
What I do
- Developing deep-learning modules for arrhythmia detection, noise classification, and signal-quality assessment.
- Re-engineering legacy interpretation pipelines for dependable, reproducible clinical deployment.
- Bringing rigorous ML tooling, evaluation, and testing discipline to a long-lived codebase.