Kahyun Choi

Machine learning in libraries, music information retrieval, computational analysis of poetic texts, responsible AI, digital humanities, and public library-based AI education.

• Indiana University Trustees Teaching Award, Indiana University Trustees, 2023
• Luddy Faculty Fellowship, Luddy School of Informatics, Computing, and Engineering, 2021

Kahyun Choi is an assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. Before then, she was an assistant professor at Indiana University Bloomington (2019-2024). She earned her PhD from the School of Information Sciences at the University of Illinois Urbana-Champaign. Before pursuing her PhD, she worked as a software engineer at Naver, an Internet portal in Korea. Choi’s research applies computational methods and machine learning across various modalities, including audio and text, bridging technology with humanities and culture. She focuses on ethical AI workflows for Libraries, Archives, and Museums (LAMs), music information retrieval, computational analysis of poetic texts, and public library-based AI education programs. As a researcher and educator, she has been recognized with several prestigious awards and fellowships, including the 2023 IU Trustees Teaching Award, the 2022 Institute of Museum and Library Services (IMLS) Early Career Research Development Project Grant, the 2021 IMLS National Leadership Grant, and the 2021 Luddy Faculty Fellowship. Through her teaching, research, and service, she continues to make significant contributions to the fields of information science and artificial intelligence.
 

• Fall 2024 - Database Design & Prototyping - IS455CCG
• Spring 2025 - Database Design & Prototyping - IS455IMA

Kahyun Choi and Minje Kim, "A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between?" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.

Kahyun Choi, "Word Embedding-Based Text Complexity Analysis," in Proceedings of the 19th iConference, 2024.

Selin Akgun, Hee Rin Lee, Kahyun Choi, Joseph Krajcik, "Supporting AI literacy in K-12 Science Education: Raising Critical Consciousness towards Ethical AI," in NARST 2024 Annual International Conference, 2024.

Kahyun Choi, "Computational Thematic Analysis of Poetry via Bimodal Large Language Models," the Association for Information Science and Technology (ASIS&T), 2023.

Soo Hyeon Kim, Gi Woong Choi, Kahyun Choi, Andrea Copeland, Christine D’Arpa, Sarah Evans, Simpson Lance, Hee Rin Lee, Ayoung Yoon, "Public Library-University Partnerships in Library and Information Science: Approaches, Challenges, Implications for Translating Research into Practice," the Association for Information Science and Technology (ASIS&T) [Panel], 2023.

Kahyun Choi, "Bimodal Music Subject Classification via Context-Dependent Language Model," in Proceedings of the 16th iConference, 2021. 

"Insights from an Introductory Music-Based ML Course for Library Science Students," DH2024 Workshop Teaching Machine Learning to Humanists, Aug. 6, 2024.

"Toward Equitable and Diverse Digital Poetry Libraries," DH2024 Workshop Computational Literary Studies: How To Do Research Responsibly, Aug. 5, 2024.

"Hands-On AI Literacy Programs for Youth," YALSA education session (webinar), Nov. 30, 2023.

"AI Literacy for Libraries," YALSA's Young Adult Services Symposium, St. Louis, MO, Nov. 10-12, 2023.

"AI for Libraries and Libraries for AI," Luddy Fellows Research Spotlight, April 5, 2023.

"AI for Libraries," 2022-2023 Luddy Faculty Fellows Talk, March 7, 2023.

"Computational Lyricology," The Georgia Tech Center for Music Technology Seminar, Georgia Institute of Technology, September 12, 2022.

"Music Trend Analysis," IU JSOM Music and Mind Lab, Bloomington, May 2, 2022.