I spend my days at the edges — where data meets intuition, research meets product, and technology meets the deeply human act of teaching and learning.
I graduated from Stanford in Education Data Science. Drawing on human-computer interaction, curriculum and instruction, learning sciences, policy and ethics, data, and applied AI, I design systems that center human creativity and care alongside technical capability. I'm now at the HKUST Center for Education Innovation, building infra that enables and spreads innovative practices in education.
code , I…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, shaping curriculum design for AI literacy, and building infra for educational practices.
On the side, I facilitate and engage in conversations on responsible AI in education at Minds Studio ↗ and Good Future Foundation ↗.
I seek an intentional breadth that leads toward depth. Multiple lenses that allow me to engage in productive friction.
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