David Owen
CUBRIC Data Engineer
- owendw1@cardiff.ac.uk
- +44 (0)29 2087 0090
- Canolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd, Heol Maendy, Caerdydd, CF24 4HQ
Trosolwg
I am Data Engineer in the Compute and Data Team at CUBRIC in the School of Psychology, Cardiff University.
My duties include the design, implementation, and maintenance of CUBRIC data pipelines. Typical pipelines may capture image data and metadata recorded during MRI sessions. This data may then be transformed according to the requirements of research staff prior to them receiving it. For example, a pipeline might capture imaging data in DICOM format and convert it to the increasingly popular BIDS format. BIDS promotes the sharing of neuroimaging data via the Open Science movement.
I am also responsible for the administration of database systems underpinning CUBRIC's imaging informatics, High Performance Computing, and resource management software. We currently support XNAT, Slurm, and Calpendo respectively. These data sources are used to support the centre's Business Intelligence reporting platform, which provides detailed monitoring of resource usage in the centre. The platform is powered by Elastic and Kibana.
Further, I am a PhD candidate in the School of Computer Science and Informatics. I am exploring the opportunities offered by NLP (Natural Language Processing) in helping to provide early healthcare intervention in occurrences of mental illness. Approaches include the detection of Cognitive Distortion markers in written social media discourse. Supervision is provided by Jose Camacho Collados, Luis Espinosa Anke, and Steven Schockaert.
Bywgraffiad
Education and qualifications
2015: MSc Advanced Computer Science, Cardiff University
2005: BSc Computer Science, Swansea University
Career overview
2019 - present: Data Engineer, CUBRIC (Cardiff University Brain Research Imaging Centre), Cardiff University
2016 - 2019: Research Associate, School of Computer Science and Informatics, Cardiff University
Between 2006 and 2014 I held a series of developer analyst and application support analyst positions at non-profit organisations and private enterprises.
Ymrwymiadau siarad cyhoeddus
- Article presentation: "Towards Preemptive Detection of Depression and Anxiety in Twitter" at Social Media Mining for Health Applications Workshop & Shared Task 2020 | COLING 2020, Barcelona, Spain, 12th December 2020
- Poster presentation: "KneeQApp: Supporting self-management of knee conditions with question answering" at UK Healthcare Text Analytics Conference (HealTAC), Manchester, UK, 18th-19th April 2018
- Invited talk: "FlexiTerm Cymraeg - A flexible term recognition method for the Welsh language" at the Dissemination event for the Welsh Natural Language Toolkit, University of South Wales, Treforest, UK, 25th May 2017
Pwyllgorau ac adolygu
- Journal reviewer, International Journal of Medical Informatics (2018, 2021, 2022)
- Journal reviewer, Biodiversity Data Journal (2018)
- Athena SWAN Self-Assessment Team member, School of Computer Science and Informatics (2017-2019)
Cyhoeddiadau
2021
- Koller, K. et al. 2021. MICRA: Microstructural Image Compilation with Repeated Acquisitions. NeuroImage 225, article number: 117406. (10.1016/j.neuroimage.2020.117406)
2020
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections.[Version 2]. Research Ideas and Outcomes 6, article number: e58030. (10.3897/rio.6.e58030)
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections [Version 1]. Research Ideas and Outcomes 6, article number: e55789. (10.3897/rio.6.e55789)
- Button, K., Spasic, I., Playle, R., Owen, D., Lau, M., Hannaway, L. and Jones, S. 2020. Using routine referral data for patients with knee and hip pain to improve access to specialist care. BMC Musculoskeletal Disorders 21, article number: 66. (10.1186/s12891-020-3087-x)
- Owen, D., Camacho Collados, J. and Espinosa-Anke, L. 2020. Towards preemptive detection of depression and anxiety in Twitter. Presented at: Social Media Mining for Health Applications Workshop & Shared Task 2020, Barcelona, Spain, 8-13 December 2020.
2019
- Spasic, I., Owen, D., Smith, A. and Button, K. 2019. KLOSURE: Closing in on open–ended patient questionnaires with text mining. Journal of Biomedical Semantics 10(S1), article number: 24. (10.1186/s13326-019-0215-3)
- Spasic, I., Owen, D., Knight, D. and Artemiou, A. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019 Presented at Lynn, T. et al. eds.Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
- Nieva De La Hidalga, A., Owen, D., Spasic, I., Rosin, P. and Sun, X. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019, Leiden, The Netherlands, 21-25 October 2019Biodiversity Information Science and Standards, Vol. 3. Vol. e37161. Pensoft, (10.3897/biss.3.37161)
2018
- Spasic, I., Owen, D., Smith, A. and Button, K. 2018. Closing in on open-ended patient questionnaires with text mining. Presented at: UK Healthcare Text Analytics Conference (HealTAC), Manchester, UK, 18-19 April 2018.
- Button, K., Owen, D., Lau, T., Spasic, I., Playle, R., Hannaway, L. and Jones, S. 2018. Improving access to care and treatment for patients with hip and knee pain at the interface between primary and secondary care. Presented at: OARSI 2018 World Congress on Osteoarthritis, Liverpool, UK, 26-29 April 2018.