Dr. Yanan Dai is a cardiovascular and medical AI researcher whose work integrates quantitative imaging, machine learning, and causal modeling to support clinical decision-making in complex cardiac conditions. Her research develops unsupervised and sequence-based analytic frameworks for coronary angiography interpretation, surgical risk stratification, and prediction of immune-related cardiotoxicity outcomes. She also investigates healthcare system dynamics, patient selection bias, and policy-driven resource allocation using data-driven methods. Complementing these efforts, she advances model-centric approaches to overcome medical data silos and supports technology translation through hybrid computational frameworks. Her professional experience centers on interdisciplinary clinical analytics, AI-enabled diagnostic innovation, and translational health systems research.

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