Summary
Spiros Denaxas is a Professor of Computational Medicine and Biomedical Informatics with 18 years’ experience turning large-scale electronic health records, genomics and real-world data into clinically actionable insights using machine learning and advanced phenotyping. He has designed and operated production-grade ETL and clinical data warehouse pipelines linking records for 15 million patients (>6 billion rows) and led widely used resources such as CALIBER that have underpinned dozens of high-impact studies. His work spans academia, national institutes and industry—from UCL and The Alan Turing Institute to BenevolentAI and the British Heart Foundation—bridging software engineering, epidemiology and genomics. Known for pragmatic, scalable solutions, he combines deep technical skills (GB/TB data engineering, RNNs, graph algorithms) with a clinician-focused mindset to accelerate disease prevention and precision medicine.
18 years of coding experience
11 years of employment as a software developer
PhD, Computer Science / Bioinformatics, PhD, Computer Science / Bioinformatics at The University of Manchester
Intensive Course in Epidemiology and Medical Statistics, Intensive Course in Epidemiology and Medical Statistics at London School of Hygiene and Tropical Medicine, U. of London
BSc, Computer Science, BSc, Computer Science at University of Bradford
English, Greek, German