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
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Care Records and Healthcare Processes: Adding Context to Clinical Codes
Conference paper
Chammas L. et al, (2024), Proceedings of the Annual Hawaii International Conference on System Sciences, 3697 - 3706
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Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare
Chapter
Dwyer OP. et al, (2024), 503 LNBIP, 235 - 246
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Reasoning over Health Records with Vadalog: a Rule-based Approach to Patient Pathways
Conference paper
Dwyer OP. et al, (2023), CEUR Workshop Proceedings, 3485
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Profiling IoT-Based Botnet Traffic Using DNS
Conference paper
Dwyer OP. et al, (2019), 2019 IEEE Global Communications Conference (GLOBECOM)