Epidemiologist / Health Data Scientist
Jon is a data scientist focusing on the OpenSAFELY research platform, with over a decade of experience of commercial and research data engineering. He has an interest in unlocking the value in routinely collected data whilst preserving the uncertainty of those data and the privacy of their subjects. His previous work includes machine vision, natural language processing, privacy-preserving record linkage and open data standards supporting animal welfare and antimicrobial resistance research. He holds and MSc in software engineering from the University of the West of England, a PhD in Applied Data Science from Bristol Veterinary School and is a Software Sustainability Institute 2020 Fellow.
Trends, variation, and clinical characteristics of recipients of antiviral drugs and neutralising monoclonal antibodies for covid-19 in community settings: retrospective, descriptive cohort study of 23.4 million people in OpenSAFELY.
Green ACA. et al, (2023), BMJ Med, 2