Professor Jim Davies
Professor of Software Engineering
- Director of Clinical Informatics, NIHR Oxford Biomedical Research Centre
- Director of Professional Programmes, Department of Computer Science
- Governing Body Fellow, Kellogg College, University of Oxford
Jim Davies is Professor of Software Engineering and Director of Clinical Informatics for the Oxford NIHR Biomedical Research Centre (BRC). He is leading the development of data standards and infrastructure for clinical and laboratory data across a network of BRCs, as part of the NIHR Health Informatics Collaborative. He is also the Director of Professional Programmes for the Department of Computer Science, overseeing the development and delivery of advanced programmes in data science, software engineering, and cybersecurity.
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.
Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records.
Walker AS. et al, (2017), Lancet (London, England), 390, 62 - 72
A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy.
Noorani A. et al, (2017), Genome research, 27, 902 - 912
Software Project Management for Combined Software and Data Engineering
Shah S. et al, (2017), Software Project Management for Distributed Computing Life-Cycle Methods for Developing Scalable and Reliable Tools, 367 - 385
Effects of control interventions on Clostridium difficile infection in England: an observational study.
Dingle KE. et al, (2017), The Lancet. Infectious diseases, 17, 411 - 421
Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance.
Secrier M. et al, (2016), Nature genetics, 48, 1131 - 1141