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.
Union of light ion therapy centers in Europe (ULICE EC FP7) - Objectives and achievements of joint research activities.
Pötter R. et al, (2018), Radiotherapy and oncology : journal of the european society for therapeutic radiology and oncology, 128, 83 - 100
Mortality Risks Associated with Emergency Admissions during Weekends and Public Holidays: An Analysis of Electronic Health Records
Walker AS. et al, (2017), Obstetrical and gynecological survey, 72, 699 - 701
Multicentre cohort study to define and validate pathological assessment of response to neoadjuvant therapy in oesophagogastric adenocarcinoma.
Noble F. et al, (2017), The british journal of surgery, 104, 1816 - 1828
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