Professor Jim Davies
Professor of Software Engineering
- Director, Oxford EPSRC Centre for Doctoral Training in Health Data Science
- Lead Data Scientist, National Consortium for Intelligent Medical Imaging
- Governing Body Fellow, Kellogg College, University of Oxford
Jim Davies is Professor of Software Engineering and Director of the Centre for Doctoral Training (CDT) in Health Data Science. He is leading the development of data standards and infrastructure for clinical and laboratory data across a network of NIHR Biomedical Research Centres (BRCs), as part of the NIHR Health Informatics Collaborative. He is also the Lead Data Scientist for the National Consortium for Intelligent Medical Imaging, funded by Innovate UK.
His research is focussed upon the development of new model- and metadata-driven techniques for big data engineering: techniques that support the automatic generation and configuration of software, and the automatic management and processing of data, based upon precise, abstract descriptions of structure, process, and intended interpretation. This work has been informed by practical, large-scale application in clinical research, healthcare delivery, and electronic governance.
A Formal, Scalable Approach to Semantic Interoperability
DAVIES J., (2019), Science of Computer Programming
Association of troponin level and age with mortality in 250 000 patients: cohort study across five UK acute care centres.
Kaura A. et al, (2019), BMJ (Clinical research ed.), 367
Mortality association of troponin level and age in over 250000 consecutive patients undergoing troponin measurement: cohort study across five UK acute centres (The NIHR Health Informatics Collaborative TROP-RISK study)
DAVIES J., (2019), BMJ: British Medical Journal
Authority and the Future of Consent in Population-level Biomedical Research
Sheehan M. et al, (2019), Public Health Ethics
Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection.
Downs LO. et al, (2019), mBio, 10