Who I am
A learning designer and psychology researcher who cares about how people learn, how they feel, and how AI can support both.
Across research labs, an AI startup, and a health-technology company, my approach has stayed the same: understand the people involved, ground the design in evidence, and measure whether it worked.
How I think
Evidence over intuition. Two years in a cognitive science lab, managing data from 100+ participants, taught me to trust what the data says.
Theory as a design tool. For Harvard’s aging project I built an AI dialogue around Erikson’s ego integrity theory, structured as Validation, Meaning, Legacy.
Feedback closes the loop. At Guanxin, input from 60+ learners reshaped course materials and formats. At Vibi, user voices from three communities fed straight back into the product.
What I do
Research
Literature reviews, experimental data, R analysis, Delphi surveys, risk frameworks.
Learning design
Lesson plans, slide decks, handouts, assessments, and live facilitation for adult learners.
AI product
Persona and prompt design, product testing, and interactive prototypes built with Claude.
What I’m exploring
How conversational AI can support emotional well-being and learning without replacing human judgment.
I’ve worked on both sides of that question: making AI companions feel natural and helpful at Vibi, and mapping the risks generative AI brings to higher education at Tsinghua.
Skills
Research and analysis
- R
- SPSS
- Excel
- Statistical analysis
- Experimental design
- Literature review
Learning and product
- Learning design
- Facilitation
- User research
- Assessment design
- AI product design
- Prompt optimization
- Prototyping with Claude
