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Dr Vasa Curcin
Reader in Health Informatics
Vasa 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 on semantics of scientific workflow systems.
123-456-7890
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