About

Ryan is a Computer Science PhD student at the University of Massachusetts Amherst, advised by Prof. Sunghoon Ivan Lee. Ryan’s research in the Advanced Human & Health Analytics (AHHA) Laboratory focuses on Machine Learning for Digital Health, specifically the validation of wearable-based biomarkers for stroke rehabilitation. His recent work, currently under review at Science Translational Medicine, demonstrates how wearable-based digital biomarkers can serve as valid alternatives to traditional clinical measures. He is committed to building predictive models and cost-effective monitoring tools that enhance long-term clinical recovery and reduce clinical burden.

Prior to joining UMass, Ryan earned his B.S. in Computer Science from National Tsing Hua University (NTHU) in 2022. As an undergraduate researcher in the Human-Centered Machine Intelligence (HMI) Lab under Prof. Po-Chih Kuo, he established a strong foundation in Trustworthy AI and medical imaging. His work during this period involved high-impact collaborations with researchers from MIT and Emory University, focusing on identifying and mitigating race-related shortcuts in deep learning models. This research resulted in publications in The Lancet Digital Health and EBioMedicine, providing the technical and ethical framework for his current focus on robust digital health biomarkers.