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Dr Vasa Curcin is a Professor  in Health Informatics at King’s College London and leads the Biomedical Informatics Group, focusing on reproducibility solutions based on data provenance, embedding clinical trials into routine practice, decision support systems as means of implementing Learning Health Systems in practice, and machine learning methods for detecting depression and anxiety disorders from social network behaviours.

Vasa completed his PhD at Imperial College London on semantics of scientific workflow systems. While working as a Bioinformatics Product Manager at InforSense Ltd, the application of his thesis to large real-world patient databases resulted in one of the earliest workflow-based phenotyping tools that has been used in both academic and industrial settings. He was a Farr Future Leader, is the King's lead for Health Data Research UK network’s Phenomics and Clinical Trial Informatics themes. He is a co-director of the DRIVE-Health Centre for Doctoral Training in Data-Driven Health.


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