His research focus is on the intersection of precision health and medicine, Internet of Things (IoT), machine learning and informatics, and motion and physiological signal sensing. His teaching interests at Duke Kunshan include Computer Organization and Programming, Introduction to Operating Systems, and Image Data Science.

He has published over 100 peer-reviewed publications and patented inventions. He has led transdisciplinary scientific projects in collaboration with researchers from diverse fields such as biomedical engineering, medicine, and nursing. For the nature of richness and high impact of the research topics he was involved in, his research results in a plethora of new knowledge in aspects ranging from innovative IoT sensing technology, closed-loop AI analytics methodology, optimized clinical decision-making, and just-in-time patient risk assessment.

He has a B.S (2007) in Electrical Engineering at Tsing Hua University, Taiwan, an M.S. (2010) in Electrical Engineering at the University of Southern California, and a Ph.D. (2014) in Computer Science at the University of California, Los Angeles. Before joining Duke Kunshan in 2021, he was an Associate Professor of Case Western Reserve University, USA. (2014-2021)

Lab webpage: https://sites.duke.edu/dukesail/