Summary
Joe Farrington is a data scientist and ACA-qualified chartered accountant with nine years' experience, currently finishing a PhD at UCL's CDT in AI-enabled healthcare systems and working at RLDatix. He specialises in applying machine learning and operational research to hospital workflows, notably optimising blood product inventory through supervised models, custom reinforcement learning environments, and a novel ML-guided issuing policy that reduced wastage in simulation. Joe bridges clinical and technical teams—extracting and preparing EHR data with SQL and pandas, deploying predictive models (including an ED admissions model now in daily use), and presenting results to non-technical clinicians and international audiences. His background in accountancy and rigorous academic training gives him a rare combination of quantitative rigor, operational understanding, and practical impact in healthcare settings.
9 years of coding experience
Hills Road Sixth Form College
BA Hons., BA Hons. at University of Cambridge
ACA, ACA at Institute of Chartered Accountants in England and Wales
University College London