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 with hands-on experience in user research, qualitative/quantitative analysis, and human-centered design.

I’m a Ph.D student in Computer Science at Virginia Tech as a member of Ascend3 Lab supervised by David H.Smith IV. 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 Computer Science Education, English as a Foreign Language (EFL) education, including designing student support systems, designing learning analytics dashboards, evaluating student–AI interactions, and developing teacher-support tools. My research has been published at HCI and NLP venues such as VL/HCC, UIST, L@S, LAK, NeurIPS, EMNLP, and LREC-COLING etc.

Current areas of work

  • AI-supported learning systems
  • Teacher dashboards and learning analytics for LLM-mediated classrooms
  • Human-centered evaluation of student and teacher interaction with AI