Designing thoughtful AI systems for education.

I study and build human-centered learning technologies, with a focus on large language models, teacher-facing tools, and classroom experiences that balance rigor with usability.

I am a researcher and designer specializing in AI-driven educational technologies. My work focuses on developing large language model (LLM) applications that foster personalized learning environments and reimagine the role of teachers in AI-enhanced classrooms. I combine a background in industrial design and electrical engineering with hands-on experience in user research, qualitative/quantitative analysis, and human-centered design.

I earned my M.S in Industrial Design from KAIST (Korea Advanced Institute of Science and Technology), where I was member of AI Experience Lab supervised by Professor Tak Yeon Lee. I also obtained my B.S in Electrical Engineering with a Minor in Industrial Design from KAIST.

I have contributed to projects that integrate LLMs into English as a Foreign Language (EFL) education, including designing learning analytics dashboards, evaluating student–AI interactions, and developing teacher-support tools. My research has been published at venues such as ACM Learning @ Scale, NeurIPS workshops, and LREC-COLING.

Beyond academia, I bring practical experience from industry—consulting on AI agent design, and governing Microsoft Power Platform at KT Corp.. With a strong interest in human-centered and ethical evaluation of AI in education, I aim to bridge cutting-edge technology with meaningful impact in learning environments.

Current areas of work

  • AI-supported writing and feedback systems for language learning
  • Teacher dashboards and learning analytics for LLM-mediated classrooms
  • Research-driven product design across academic and industry settings
  • Human-centered evaluation of student and teacher interaction with AI

Recent posts and updates

View all updates