Hi! I'm Megan 👋
I am a PhD researcher at Durham University, investigating the application of multimodal machine learning to understand and explain music performance difficulty for music education applications. I am supervised by Dr Chris Willcocks, Dr Brian Bemman, and Dr Mark Gotham, and am a member of the Artificial Intelligence and Human Systems (AIHS) group within the Department of Computer Science.
Prior to this, I completed a Master's degree in Culture Technology at the Music and Audio Computing Lab (MACLab) at the Korea Advanced Institute of Science and Technology (KAIST), under the supervision of Prof. Juhan Nam, and a Bachelor's degree in Computer Science at the University of Cambridge.
Publications
- Hayeon Bang, Eunjin Choi, Megan Finch, Seungheon Doh, Seolhee Lee, Gyeong-Hoon Lee, and Juhan Nam. 2024. PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text. In Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA), pages 5–10, Oakland, USA. Association for Computational Lingustics.
Teaching
University of Cambridge, Supervisor
- Further Human-Computer Interaction (Spring 2023, 2024, 2025)
- Foundations of Computer Science (Fall 2023, 2024)
Durham University, Doctoral Teaching Fellow
- COMP3721 Introduction to Music Computing (Fall 2025)
- COMP53815 Natural Language Processing (Spring 2026)
- COMP42115 Natural Language Analysis (Spring 2026)
Scholarships & Funding
- Durham Doctoral Teaching Fellowship, 2024–2028
- KAIST International Scholarship, 2022–2024