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.