Hello! I'm a Ph.D. student in Artificial Intelligence at
KAIST, advised by
Sungsoo Ahn in the
Lab.
I received my B.S. in Mathematics from POSTECH and am currently a research intern at Mila, hosted by
Alex Hernández-García. My research focuses on flow-based generative models and diffusion samplers for AI for science,
with applications to molecular conformer generation, catalyst design, and materials discovery.
Most recent publications on Google Scholar
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn
ICML 2026
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
arXiv preprint, 2026
On Scalable and Efficient Training of Diffusion Samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
NeurIPS 2025
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn
ICML 2026
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
arXiv preprint, 2026
On Scalable and Efficient Training of Diffusion Samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
NeurIPS 2025
MILA — Research Intern (Jul – Oct 2026)
Full Resume in PDF.
Reviewer
TMLR, ICLR 2026 ReALM-GEN, GEM Workshop, ICML 2026 AI4Science Workshop, NeurIPS 2026
Student Committee (2026)
ICML 2026 Korea AI4Science Gathering; ProbML 2026 Conference