Professor Vasa Curcin is a distinguished leader in health informatics whose work bridges computational science and healthcare delivery systems. He currently serves as Professor of Health Informatics and Joint Head of Department for Population Health Sciences at King's College London, where he leads the influential Digital Health Group. After completing his PhD at Imperial College London on the semantics of scientific workflow systems, he gained valuable industry experience as a Bioinformatics Product Manager at InforSense Ltd before establishing his academic career. Born in Pančevo, Serbia, Professor Curcin moved to London in 1997 and returned to King's College London in 2014 to build his research program focused on transforming healthcare through informatics innovation.
His pioneering research has established foundational frameworks for implementing Learning Health Systems that seamlessly integrate clinical care and research, with particular emphasis on reproducibility solutions based on data provenance. Professor Curcin developed one of the earliest workflow-based phenotyping tools during his time at InforSense Ltd, which has been widely adopted in both academic and industrial settings for analyzing large patient databases. His innovative work extends to machine learning methods for detecting depression and anxiety disorders from social network behaviors, demonstrating the potential for digital approaches to enhance mental healthcare. The ROAD2H project, which he co-leads, represents a significant advancement in resource optimization, argumentation, decision support, and knowledge transfer within healthcare systems.
As King's lead for Health Data Research UK network's Phenomics and Clinical Trial Informatics themes, Professor Curcin plays a pivotal role in shaping national health data research initiatives across the United Kingdom. He serves as co-director of the DRIVE-Health Centre for Doctoral Training in Data-Driven Health, mentoring the next generation of health informatics researchers while advancing the field through his leadership as Associate Editor for the Wiley Learning Health Systems Journal. His extensive contributions to the field are reflected in over 100 peer-reviewed publications that have established best practices for embedding clinical trials into routine healthcare practice and developing robust decision support systems. Professor Curcin continues to drive innovation at the intersection of informatics and healthcare, with his current work focusing on creating scalable solutions that enhance the reproducibility, auditability, and practical implementation of digital health technologies across diverse clinical settings.
