Aiden Doherty is a Professor and Wellcome Trust Senior Research Fellow in Biomedical Informatics at the University of Oxford with 12 years of research leadership focused on reproducible methods for analysing wearable sensor data in very large health studies. He leads a group at the Big Data Institute and holds an AI & Machine Learning fellowship at Reuben College, bridging methodological innovation with population-scale epidemiology. His work seeks to uncover causes and consequences of disease by turning continuous sensor streams into robust, reusable phenotypes and statistical pipelines. Trained with a PhD in Computing from Dublin City University and early industry experience as a software engineer and Microsoft Research intern, he combines deep computational expertise with applied biomedical research. Colleagues value his emphasis on reproducibility and scalable code, which has enabled large consortia studies rather than single-lab analyses. He is based in Oxford and known for translating complex machine learning methods into practical tools for population health.
12 years of coding experience
8 years of employment as a software developer
BSc, Computing Science, 1:1, BSc, Computing Science, 1:1 at University of Ulster
PhD, Computing, PhD, Computing at Dublin City University
Contributions:126 commits, 1 PR, 6 pushes in 2 years 1 month
camerastandalonewearable
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.