My research spans several core areas: (1) AI-driven modeling for health outcomes research, (2) fair machine learning using real-world data (RWD) to address health disparities, (3) advanced deep learning methods for analyzing temporal and spatiotemporal data, and (4) multi-modal data integration and analysis. My current focus involves developing AI/ML-based tools to analyze RWD in disease outcome and progression research, espcially for cancers and other chronic diseases, with the ultimate aim of enhancing patient outcomes.
Post-doctoral Fellowship - University of Florida, Gainesville, Florida 2025
PhD - National Yang Ming Chiao Tung University, Taiwan 2022
