가/A

Danbinaerin Han

Korean Traditional Music Music Information Retrieval Computational Musicology Music AI

I am a Ph.D. student at the Music and Audio Computing Lab (MACLab), advised by Prof. Juhan Nam.

My research applies Music Information Retrieval (MIR) and music AI to Gugak (Korean traditional music), focusing on its unique idioms and expressive characteristics that are often overlooked in conventional analysis.

With over 15 years of experience as a haegeum player, I combine performance-based musical intuition with data-driven analytical methods to investigate what constitutes the "Korean-ness" in our music.

✉ naerin71@kaist.ac.kr | danbinaerin@naver.com

Cover image

🤗 News

  • 2026.01.01
    Appointed as a member of the Cultural and Arts Policy Advisory Committee under the Ministry of Culture, Sports and Tourism, Republic of Korea. link
  • 2026.01.01
    A new webpage has been launched for easy access and download of the Jeong-ak Dataset: https://danbinaerinhan.github.io/Jeongganbo_dataset/