Owen Dwyer
CDT Student
I’m a PhD student based at the Department of Computer Science and co-supervised by Emanuel Sallinger and Jim Davies.
My research focuses on developing new computational methods, based on technologies including knowledge graphs and process mining, to build models of patients’ entire journeys through the healthcare system. The aim is to develop more informative and interpretable models of patient pathways and use these to discover patient subgroups, identify optimal treatments, and investigate how “best practice” treatment guidelines compare to real practice and outcomes, with a particular interest in colorectal cancers.
My research is funded by Elsevier via the EPSRC Centre for Doctoral Training in Health Data Science. I previously graduated from Lancaster University with a BSc in Computer Science and an MSc in Data Science, where I also worked with health data to investigate early detection of at-risk diabetes patients.
Recent publications
Using ontologies to facilitate healthcare process mining and analysis.
Journal article
Dwyer OP. et al, (2026), Journal of intelligent information systems, 64, 989 - 1009
Care records and healthcare processes: adding context to clinical codes.
Conference paper
Chammas L. et al, (2024), HICSS, 3697 - 3706
Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare.
Chapter
Dwyer OP. et al, (2023), 503, 235 - 246
Reasoning over Health Records with Vadalog: a Rule-based Approach to Patient Pathways.
Conference paper
Dwyer OP. et al, (2023), RuleML+RR (Companion), 3485