Dr. Han Feng is a Research Assistant Professor at Tulane University School of Medicine with over a decade of experience in statistical learning, machine learning, and biomedical data science. His research focuses on cardiovascular disease, especially atrial fibrillation, leveraging EHR data, digital health signals, and real-world evidence to inform predictive modeling and risk stratification. Dr. Feng has extensive experience working with large-scale databases, including REACHnet, EPIC, NIS, Cerner, and the UK Biobank. He has contributed to the design and operational execution of several prospective clinical trials, including HeartBeat and CASTLE-HFpEF, and has led analytical and translational research efforts in trials such as DECAAF II, (mo)BETTA, and MACS. He has contributed to more than 40 peer-reviewed publications and 100+ conference abstracts across interdisciplinary teams. Known for his practical problem-solving and methodological rigor, Dr. Feng specializes in integrating advanced analytics with clinical insight to support high-impact, translational research.