Beyond a
single discipline.

I trained in medicine and now work in computer science. The longer I do this, the more I notice how much depends on the way a problem gets written down: in a chart, in a dataset, in a prompt to an AI system.

Medicine taught me to keep in view the person a decision lands on. Engineering gives me ways to state assumptions and test how a system actually behaves. Research is where I get to ask whether the question was framed badly in the first place.

Education & background

I graduated from the Department of Medicine at National Cheng Kung University. I am now a PhD candidate in the Department of Computer Science and Information Engineering at National Cheng Kung University. My research spans human–AI interaction, medical informatics, and genetic research.

Community service

I serve as a Standing Director of the Taiwan Usher Syndrome and Audiovisual Impairment Association, a patient organization.

Selected research

“AI Is Not an Employee,” co-authored with Wen-Hsiang Lu, was published in the International Journal of Human–Computer Interaction in 2026. It examines workplace mental models and the context discovery gap in human–AI interaction.

“Fixed and resampled permutations are distinct controls in connectivity-augmented EEG decoding,” also with Wen-Hsiang Lu, was published in Digital Signal Processing in 2026. It shows that how a permutation control is scheduled changes what a decoding comparison means.