Summary
Haneul Yoo is a Ph.D. candidate and graduate student researcher at KAIST with eight years of experience building multilingual and multicultural language models and resources, particularly focused on Korean and Hanja. Currently a visiting scholar at NYU and formerly at NAVER Cloud and Upstage, she develops robust, controllable, and less biased LLMs and constructs evaluation benchmarks like KoBBQ to reduce cross-linguistic communication disparities. Her work bridges core research and practical applications in language education, code-switching corpora, and multimodality, with a track record of internships and teaching that span industry and academia. Combining deep technical training with entrepreneurial experience founding a music platform, she brings a user-centered perspective to multilingual NLP and model safety.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science and Engineering / Digital Media, Bachelor's degree, Computer Science and Engineering / Digital Media at Ajou University
Doctor's Degree, Computer Science, Doctor's Degree, Computer Science at Korea Advanced Institute of Science and Technology