Vajira Lasantha Bandara Thambawita serves as an External Researcher in the Department of Biomedical Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences, focusing on the physiology of circulation, kidney, and lung with specialized expertise in AI-driven cardiovascular diagnostics. His research interests include: Development and validation of AI systems for cardiology Electrocardiogram (ECG) analysis using deep learning techniques Medical data privacy implications of generative models Explainable AI for clinical decision support Retinal image analysis for cardiovascular risk prediction Privacy-preserving methods in medical AI Analysis of his 2021-2025 publications reveals a critical focus on AI validation frameworks in cardiology, with significant contributions to ECG interpretation explainability and retinal image-based cardiovascular diagnostics. His work consistently addresses the tension between AI innovation and clinical safety, particularly regarding privacy vulnerabilities exposed by synthetic medical data generation. Dr. Thambawita operates within the University of Copenhagen's cardiovascular research ecosystem, contributing to interdisciplinary projects that bridge computational science and physiological medicine through the Heart, Renal and Circulation research group.