
Compositional Generalization
Continual Learning
Categorical Deep Learning
Mechanistic Interpretability
M.S. in Artificial Intelligence, 2024
Korea Advanced Institute of Science and Technology
B.S. in Biological Sciences and Electrical & Computer Engineering, 2022
Seoul National University
I am a Ph.D. student at KAIST Graduate School of AI, advised by Minjoon Seo and Seongjoon Oh. My personal page is at hoyeonchang.github.io.
My research investigates the structural foundations of intelligence: specifically, how systematic compositionality and robust belief revision can be realized in connectionist networks. Currently, I am exploring the interface of category theory and the geometry of neural representations, aiming to uncover the structural constraints that govern generalization. I deeply value interdisciplinary insights and enjoy connecting ideas from philosophy, linguistics, cognitive science, and mathematics to build a comprehensive picture of intelligence.
Previously, I obtained a B.S. in Electrical & Computer Engineering and Biological Sciences from Seoul National University. Outside of research, I am a jazz pianist and occasionally play at jazz clubs in Seoul.