Lecturer in Health Informatics, King's College London

Vasa Curcin is a Lecturer in Health Informatics at King's College London. He is also the Scientific Project Manager of EU FP7 TRANSFoRm project.

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 open-source WISH tool for model-based clinical data collection and reporting, and the provenance infrastructure for heterogeneous software systems.

Experience

  • –present
    Lecturer in Health Informatics, King's College London
  • 2010–2014
    Research Fellow, Imperial College London

Education

  • 2009 
    PhD, Imperial College London

Publications

  • 2014
    Implementing interoperable provenance in biomedical research, Future Generation Computer Systems
  • 2014
    Model-driven approach to data collection and reporting for quality improvement, Journal of Biomedical Informatics