Sina is a cardiology researcher whose work centres on the early detection and phenotyping of coronary artery disease using biomarkers, imaging, and computational approaches. His research aims to refine cardiovascular risk assessment beyond conventional models, with particular interest in subclinical disease, SMuRFless coronary disease, and the integration of multimodal data to support more targeted prevention. His broader interests include coronary CT, OCT, AI-driven image analysis, and translational studies that link biological mechanisms to clinically relevant outcomes.