I’m a Ph.D. student at Singapore Management University, working on human-computer interaction with Prof. Li Jiannan as part of the SMU-HCI community. I completed my Master of Computing at National University of Singapore working with Prof. Zhao Shengdong and Prof. Tony Tang. BSc (Hons) in Computing Science from University of Glasgow under Prof. Jeannie Lee’s supervision.
My research asks what we lose when AI does too much. I study human–AI interaction in learning and creative contexts — exploring how to make AI more expressive and capable, but not at the expense of the human efforts worth protecting. My work examines how teaching, annotating, and explaining shape cognition and collaboration, and what happens to those processes when AI absorbs them. I build systems, run studies, and develop theoretical frameworks to argue for a more selective AI — one that knows when to step back.
in progress
Working on when optional help becomes default in learning tools — designs that keep struggle, reflection, and human teaching moves legible.
Exploring annotation and explanation as places where human effort should stay visible as models get more capable.
Prototyping creative tools for children’s exploration — play, tinkering, and open-ended making — with a lighter-touch AI default so curiosity and agency stay in the foreground.
publications
position, workshop, and poster papers
