“Somewhere, something incredible is waiting to be known.”
Brains and machines
Undergraduate student in Brain and Cognitive Science at KAIST.
News
- Fall 2026I will join University of Alberta, Electrical and Computer Engineering for MSc. Also a fellow at Amii (Alberta Machine Intelligence Institute), co-advised by Bahareh Tolooshams and Lazar Atanackovic.
- Summer 2024Research intern at the University of Leeds, advised by Netta Cohen.
About
I study how models learn from little data. My work focuses on representation learning, disentanglement, and diffusion/flow-based generative models, asking what structure makes efficient learning possible.
Current focus
- Efficient learning and generalization from limited data
- Disentangled representations
- Diffusion and flow-based generative models
“The first principle is that you must not fool yourself — and you are the easiest person to fool.”