UniExp HK is the main public project so far, alongside smaller experiments in workflow design and rapid prototyping.
A Hong Kong platform that helps researchers recruit participants and helps participants discover paid or meaningful studies.
Research participation is often fragmented. Researchers need a clearer recruitment channel, while potential participants need a trustworthy, easy-to-understand entry point.
I helped shape and build a multilingual public-facing site that explains the platform quickly, lowers trust friction, and turns an abstract academic-service idea into a product people can actually use.
AI was useful for rapid ideation, content iteration, UI exploration, and implementation acceleration. I still made the product, narrative, and quality decisions manually.
The project matters because it takes a research-adjacent service and makes it understandable, trustworthy, and usable for real people on both sides of the platform.
These projects focus on prototyping, repeatable workflows, and research-facing tools.
Ongoing small experiments in turning research-adjacent ideas into working interfaces more quickly.
This work keeps improving how I approach future products, prototypes, and research-facing tools.
Practical workflows for experiment design, acoustic analysis, and data handling across speech research projects.
This work connects research design, analysis, and tool building rather than treating them as separate tasks.