I’m Xinman ᨒ𖠰꙳

My work spans the full arc of AI x education, vertically from K–12 to higher ed to the workplace, and horizontally from product to data to policy and community engagement.

Lately, this has meant deploying an end-to-end teacher–AI collaborative feedback platform at the Stanford Lytics Lab, shaping curriculum-grounded AI product discovery at Goodnotes Education, and building data annotation pipelines for LLM evaluation at TeachFX.

On the side, I facilitate/engage in conversations on responsible AI in education at Learnest ↗, Minds Studio ↗ and Good Future Foundation ↗.

I seek an intentional breadth that leads toward depth, rather than dilution. Multiple lenses that allow me to engage with AI transformation through its friction, beyond its promise.