Summary
Arron Lacey is a Senior Lecturer in Cancer Data Science and Bioinformatics at Swansea University with nine years of experience applying machine learning and health informatics to cardiovascular and epilepsy research. He combines a strong academic foundation—BSc in Physics, MSc and MPhil in Computer Science/Biology, and a PhD in Health Data Science in progress—with hands-on data science work using linked population datasets (SAIL) to study outcomes like stroke, infective endocarditis, and epilepsy. His publications span epidemiology, pharmacoepidemiology and real-world comparative effectiveness, demonstrating an ability to translate complex clinical questions into reproducible data analyses. At Swansea he progressed from Data Scientist in the College of Medicine to senior academic roles, and has also supported community-building at The Alan Turing Institute. Colleagues value his cross-disciplinary fluency between computational methods and clinical problems, and his PhD focus on SNP impact estimation signals an interest in marrying genomics with applied ML. He is based in Swansea and known for pragmatic, data-linked studies that influence clinical understanding and policy debates.
9 years of coding experience
11 years of employment as a software developer
PhD, Health Data Science, PhD, Health Data Science at Swansea University