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 David Owen

David Owen

Research Associate

School of Computer Science and Informatics

+44 (0)29 2251 0036
+44 (0)29 2087 4598
S/2.18C, Queen's Buildings - South Building, 5 The Parade, Newport Road, Cardiff, CF24 3AA

I am a Research Associate belonging to the Data and Knowledge Engineering research group at the School of Computer Science & Informatics, Cardiff University. My research comprises text mining, ontologies, and health informatics.

Current projects concern the use of text mining, particularly topic modelling, to identify adverse events in clinical trial narratives. These events may be correlated with investigational medicinal products to help improve the safety of clinical trials.

Other interests include the use of specialist ontologies for improving the performance of closed domain question answering systems and the design of resources for Welsh Natural Language Processing applications.

Further, I am a PhD candidate exploring biomedical concept mapping (using ontologies) and sentiment analysis of free-text healthcare data (referral letters, patient surveys) with the intent to optimise treatment pathways and patient self-management programmes. Supervision is provided by Prof Irena Spasić and Dr Federico Cerutti.

Education and qualifications

2015: MSc Advanced Computer Science, Cardiff University

2005: BSc Computer Science, Swansea University

Career overview

2016 - present: Research Associate, Cardiff University

Between 2006 and 2014 I held a series of developer analyst and application support positions at non-profit organisations and private enterprises.

Speaking engagements

  • Invited talk: "FlexiTermCY - A flexible term recognition method for the Welsh language" at the Dissemination event for the Welsh Natural Language Toolkit, University of South Wales, Treforest, 25th May 2017

Committees and reviewing

  • Journal reviewer, International Journal of Medical Informatics (2018)
  • Journal reviewer, Biodiversity Data Journal (2018)


Current Projects

  • ICEDIG: Innovation and consolidation for large-scale digitisation of natural heritage
  • TRIAGE: AuTomated prioRitisation and categorIsation of sAfety and PharmacoviGilance Events in CTIMPs

  • KneeQApp: Supporting self-management of knee conditions with question answering
  • FlexiTermCY: A flexible term recognition method for the Welsh language

Recent Projects

  • Global Challenges Research Fund: Computational analysis of the measles outbreak in Serbia
  • IMPP: Improving access to care and treatment for patients with hip and knee pain at the primary/secondary care interface
  • KLOSURE: Using qualitative analysis of patient blogs to inform development of automated measurement of self-care with text mining and sentiment analysis
  • TRAK application suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions

External profiles