Xiang Zhu is a joint-training PhD candidate in Public Health at Nanchang University and the National University of Singapore. His research centers on clinical epidemiology, cardiometabolic disease risk stratification, and the application of advanced machine learning techniques in precision medicine. As first author, he has published three peer-reviewed papers in BMC Medical Research Methodology, Frontiers in Endocrinology, and Scientific Reports. His work has significantly advanced prognostic modeling for patients with percutaneous coronary intervention and acute stroke, with important implications for metabolic syndrome-related cardiovascular outcomes.