I am a physician-scientist conducting clinical service and research in cardiac arrhythmias. By fostering multidisciplinary collaborations, I bridge the gap between clinical practice and scientific exploration.
In my basic research endeavors, I received comprehensive training in Marban Eduardo's lab. After that, I focus on the physiology of the sinoatrial node (SAN), disease mechanisms, and innovative biological therapies. I have developed various models of pacemaker cardiomyocytes, utilizing techniques such as non-viral reprogramming and induced pluripotent stem-cell-derived cardiomyocytes, as well as employing small to large animal models. These models have been instrumental in dissecting disease processes and exploring novel therapeutic strategies. My work has also laid the foundation for understanding the metabolic regulation of pacemaker cardiomyocytes and the potential for rejuvenating dysfunctional heartbeats by restoring proper metabolism. In parallel, my clinical research involves the development of artificial intelligence-based models for ECG analysis and investigating the genetics underlying cardiac arrhythmias. These efforts have culminated in the development of software for medical devices, currently under review by the Taiwan FDA, to enhance clinical utilization. The outcomes of my research have been published in renowned journals such as Nature Biomedical Engineering, Circulation Research (as the cover story), Science Translational Medicine, Nature Review Cardiology, Nature Communication, and the Journal of the American College of Cardiology, among others. The recognition of my work through prestigious research awards in Taiwan and funding from highly competitive grants, including Taiwan's international outstanding research grant, further attest to the quality and impact of my research. I am also honored to have been the first recipient of the Paul Dudley White International Scholar Award (American Heart Association 2018) in Taiwan. In addition to my research accomplishments, I actively contribute to the scientific community as a committee member of the Asian Pacific Heart Rhythm, Taiwan Society of Cardiology, and Taiwan Heart Rhythm Society. Furthermore, I serve as an associate editor of an official journal in the field. Collaborating with multidisciplinary teams, I have contributed to international guidelines and participated in nationally-planned projects, ensuring that my research findings are integrated into practical applications and advancements in the field

The research interests of our laboratory focus on the translational approach to investigate the mechanisms and discover new therapies for arrhythmias. We bridge the clinical and basic research units to work out the solution by the multidisciplinary collaboration. Several active fields of interests are the creation of biological pacemakers by direct reprogramming for cardiac conduction diseases; translational approaches to study genetics and mechanisms of arrhythmias; artificial intelligence (A.I.) to screen, prevent, and treat arrhythmias. The delivery of the transcription factor (TBX18) reprograms quiescent ventricular cardiomyocytes into beating pacemaker cells. Based on this interesting finding, we have further developed the innovative methods utilizing biomaterials and small molecules to create pacemaker cells in an efficient way. The biological pacemaker cells not only could be used as the alternative to the electronic device, but also applied as an in-vitro engineered cell or tissue model. Clinical genetics screening in the patients with arrhythmias revealed several potential pathogenetic genes for cardiac conduction diseases and arrhythmias. These have been undergoing validation by the arrhythmia models of transgenic mice and human induced pluripotent stem cell-derived cardiomyocytes. To catch up with future trend of biomedical analysis, we use A.I. to explore the clinical databases of arrhythmias including ECGs, genes, and biomarkers. We have come up with several A.I. models to diagnose arrhythmias, rare diseases, and non-invasive monitoring of cardiac phenotypes.