Summary
Ken Mcgarry is an Associate Professor in Computing with over two decades at the University of Sunderland and 11 years of documented professional experience focused on teaching and research in computer science, statistics, data mining and research methods. He holds a PhD in Neural Networks and an MSc in Knowledge Engineering, and applies computational techniques—complex network theory, clustering and inferential statistics—to biomedical problems such as drug repositioning, side-effect prediction and protein target identification. A Senior Fellow of the Higher Education Academy and fellow/member of key professional societies, he regularly reviews for high-profile journals and research councils across the UK, US and Israel. His work bridges rigorous biostatistical modelling and practical data-driven discovery, turning noisy medical data into actionable knowledge. Beyond academia, his GitHub motto—"One man's effort in creating knowledge from data"—captures a long-standing commitment to extracting insight from data rather than just building models. Based in Sunderland, he combines deep methodological expertise with a steady track record of peer review and interdisciplinary collaboration.
11 years of coding experience
Doctor of Philosophy - PhD, Neural Networks, Doctor of Philosophy - PhD, Neural Networks at University of Sunderland