Andrew Creagh
AI ML Lead at University of Oxford
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAndrew Creagh is an AI/ML lead based in London with nine years of experience building clinical decision support systems and digital biomarkers from multimodal health data. He currently leads Sanome’s AI/ML team, developing multi-modal, multi-scale foundation models to predict personalised health outcomes, while maintaining a research affiliation at the University of Oxford. His background spans industry and academia—doctoral work and postdoctoral roles focused on clinical machine learning, plus collaborative positions at GSK and Roche—bridging rigorous research with product-driven development. Andrew’s work emphasizes early warning of clinical events and uncovering digital phenotypes from wearables, smartphones, EHRs and clinical notes to enable truly personalized care. He combines deep technical training (DPhil, Biomedical Engineering) with hands-on experience translating digital biomarkers into deployable healthcare tools. A less obvious strength is his track record of operating across pharma, startups, and academic settings, enabling him to navigate regulatory, clinical and engineering constraints when bringing AI into practice.
9 years of coding experience
7 years of employment as a software developer
DPhil - Doctor of Philosophy (PhD), Clinical Machine Learning, DPhil - Doctor of Philosophy (PhD), Clinical Machine Learning at University of Oxford(MAI), Biomedical Engineering, Distinction (I.I), (MAI), Biomedical Engineering, Distinction (I.I) at Trinity College, Dublin
Stackoverflow
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Github Skills (13)
health9
accelerometer9
health-data8
science7
wearables7
machine-learning6
self-supervised-learning6
supervised-learning6
data-science5
time-series5
deep-learning4
pytorch4
human-activity-recognition4
Programming languages (1)
Github contributions (5)
apcreagh/B18-Wearables-Laboratory
Jan 2021 - Jan 2023
Contributions:38 commits, 20 pushes, 2 branches in 2 years
apcreagh/CDTworkshop_ML4timeseries
Oct 2021 - Nov 2022
The Oxford EPSRC CDT in Health Data Science, Machine Learning for Time-Series Course (2021-2022)
Contributions:61 commits, 4 PRs, 28 pushes in 1 year 1 month
health-dataepsrcsciencedata-sciencecdt
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