Jihyang Cheon

Researching how academic disciplines construct knowledge, evaluate evidence, and define scientific significance through computational approaches, while investigating the methodological role of generative AI in social science research. - Conduct large-scale analyses of scientific texts using NLP and computational methods. - Identify disciplinary patterns in research significance, evaluation criteria, and knowledge production. - Study barriers and opportunities for interdisciplinary collaboration across academic communities. - Explore generative AI as a tool for data generation, qualitative analysis, and computational social science research.

Applied computational text analysis to investigate accessibility barriers and social inequality in public services. - Analyzed complaint records from sign-language interpretation services using NLP techniques. - Identified institutional barriers affecting emergency communication and accessibility. - Produced evidence-based recommendations for improving public service delivery.

Co-founded a generative AI startup developing creative tools for webtoon artists. - Led end-to-end product development from data collection and model evaluation to service planning. - Worked across AI product design, user research, and business strategy. - Explored the opportunities and social implications of generative AI in creative industries.

Developed immersive educational technologies combining AR and machine learning. - Designed AR-based learning systems for neural network visualization and education. - Explored human-centered approaches to AI education and technology design.