Jaehoon Hahm

I’m a second-year Physics Ph.D. Candidate at the University of Illinois, Urbana-Champaign, advised by Bryan Clark.
Previously, I completed my M.S. at the Graduate School of Data Science, Seoul National University, advised by Joonseok Lee.
Before that, I completed my B.S. at Physics, Seoul National University.

I’m interested in ML + Quantum, particularly using techniques in Geometric Deep Learning, and Generative Modeling.
I like to work in broad areas in the intersection of Physics, Differential Geometry, and ML.
I'm currently working on:

1. Optimal transport for local geometry preserving Diffusion/Flow/Markov matching
2. Discrete Flow Matching for physical/biological data
3. Control theoretic approaches for Energy-based models
4. Neural Quantum States + Subspace Diagonalization/Mixture of Experts

Feel free to contact me via email for any exciting collaboration!

Preprints

Publications