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.
Invasive versus non-invasive management of older patients with non-ST elevation myocardial infarction (SENIOR-NSTEMI): a cohort study based on routine clinical data.
Kaura A. et al, (2020), Lancet (London, England), 396, 623 - 634
Inpatient hypoglycaemia: understanding who is at risk.
Ruan Y. et al, (2020), Diabetologia, 63, 1299 - 1304
Machine learning to predict early recurrence after oesophageal cancer surgery.
Rahman SA. et al, (2020), The British journal of surgery, 107, 1042 - 1052
Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.
Ruan Y. et al, (2020), Diabetes care, 43, 1504 - 1511
Identification of Subtypes of Barrett's Esophagus and Esophageal Adenocarcinoma Based on DNA Methylation Profiles and Integration of Transcriptome and Genome Data.
Jammula S. et al, (2020), Gastroenterology, 158, 1682 - 1697.e1