Summary
Kevin Garwood is a Data Architect with 12 years of experience transitioning from software development into data management, strategy and architecture, primarily in life sciences and biotech. He blends deep technical chops (extensive Java background, now mostly Python) with domain expertise across birth cohorts, observational health data, early drug discovery and clinical trials. Kevin has built frameworks to translate multidisciplinary needs into practical data assets—most notably a Data Desirability Framework aligning machine learning scientists, bioinformaticians, legal/compliance and engineers. His work spans hands-on engineering, metadata and data engineering to shaping enterprise data landscapes that respect ethics, IP and cross‑border data protection. Based in London, he pairs a PhD in Computer Science with recent study in art history, reflecting a curiosity that informs both rigorous technical design and creative problem framing.
12 years of coding experience
22 years of employment as a software developer
Birckbeck
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Manchester
Master's degree Art History, Master's degree Art History at Birkbeck, University of London