معرفی
Professor Vasa Curcin is a Professor of Health Informatics at King’s College London and leads the Digital Health Group. He holds a joint role as Head of the Department of Population Health Sciences within the School of Life Course & Population Sciences. His research focuses on reproducibility solutions using data provenance, embedding clinical trials into routine practice, decision support systems for Learning Health Systems, and machine learning applications in mental health detection. He completed his PhD at Imperial College London on scientific workflow systems and has contributed to the development of early workflow-based phenotyping tools. He is a co-director of the EPSRC Centre for Doctoral Training in Data-Driven Health (DRIVE-Health) and leads initiatives like the Health Data Research UK’s Phenomics and Clinical Trial Informatics themes.
Education: BSc Computing (King’s College London), MSc (Imperial College London), PhD in Bioinformatics (Imperial College London).
Research interests span digital health innovations, stroke analytics, and AI-driven healthcare solutions. His work emphasizes data interoperability, phenotype library development, and leveraging EHR data for clinical insights. Notable projects include the Phenoflow Library, CONSULT healthcare project, and King’s CAT social media research tool.
Key contributions include machine learning models for stroke mortality prediction, antimicrobial resistance analysis in ICU, and social media-based mental health monitoring. He collaborates across disciplines, integrating software engineering practices with medical research to improve patient outcomes and healthcare efficiency.
Grants and collaborations include funding from UK Research and Innovation, NHS partnerships, and international initiatives addressing post-COVID syndromes and healthcare inequalities. His work aims to bridge the gap between software engineering and medical innovation through reproducible, ethical, and patient-centered approaches.
