He was the healthcare theme coordinator at the London e-Science Centre, while based at the Department of Computing. He was the Scientific Project Manager of EU TRANSFoRm project, and Technical Lead of CLAHRC Northwest London initiative.
His main research is in the area of provenance-based reproducibility, with specific applications in medical informatics and Big Data analytics. His PhD was on the application of process algebras and other formal models to verification and optimization of scientific workflows.
Other research interests include:
- Big Data analytics using scientific workflows
- Translational research across the whole biomedical spectrum
- Process models for clinical guidelines
The software tools produced in Vasa's projects are being used by a wider scientific and medical community. These include the WISH tool for model-based clinical data collection and reporting, and the provenance infrastructure for heterogeneous software systems. Software is free of charge, and licensing details are available on request.
et al., 2023, ROAD2H: development and evaluation of an open-source explainable AI approach for managing co-morbidity and clinical guidelines, Learning Health Systems, ISSN:2379-6146
et al., 2023, Public Opinions About Palliative and End-of-Life Care During the COVID-19 Pandemic: Twitter-Based Content Analysis., Jmir Form Res, Vol:7
et al., 2023, A concept mapping approach to assess factors influencing the delivery of community-based salon interventions to prevent cardiovascular disease and breast cancer among ethnically diverse women in south London, The British Journal of General Practice : the Journal of the Royal College of General Practitioners, Vol:73
Tapuria A, Kalra D, Curcin V, 2023, Digital Analysis of Clinical Screening Criteria for a Rare Disease - Behcet's Disease., Stud Health Technol Inform, Vol:305, Pages:444-447
et al., 2023, Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care