Owen Dwyer

I’m a PhD student based at the Department of Computer Science, University of Oxford 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.


  • Care records and healthcare processes: adding context to clinical codes

    January 2024 // conference paper
  • Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare

    October 2023 // conference paper
  • Reasoning over Health Records with Vadalog: a Rule-based Approach to Patient Pathways

    September 2023 // conference paper
  • Profiling IoT-based Botnet Traffic using DNS

    December 2019 // conference paper