Research Interests
I am interested in applying mathematical approaches to pioneering engineering challenges of the future.
- Scientific Machine Learning: Operator Learning, PINN
- Quantum Computing for PDEs: Quantum Machine Learning for PDEs, HHL, VQLS
- Generative Models for Science: Diffusion Models, VAE
Education
- (2026-Now) Ph.D., Seoul National University (SNU), Seoul, Korea
- Major: Interdisciplinary Program in Artificial Intelligence (IPAI)
- Advisor: Youngjoon Hong
- (2024-2026) M.S., KAIST, Daejeon, Korea
- Major: Mathematical Sciences / Minor: Graduate School of Data Science
- Advisor: Youngjoon Hong (SNU) / Wooseok Ha (KAIST)
- (2020-2024) B.S., Sungkyunkwan University, Suwon, Korea
- Major: Mathematics (GPA: 4.12/4.5)
Publications
Accepted:
- C. Kim, M. Seong, Y. Kim, D.-K.Park, and Y. Hong, Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations. NeurIPS (2026).
- Kim, N., Lee, D., Kim, C. et al. Simple arithmetic operation in latent space can generate a novel three-dimensional graph metamaterials. npj Comput Mater 10, 236 (2024).
*: equal contribution
Presentations
2026 Fall ~ (Ph.D.)- 2026 NeurIPS, Sydney (Poster, sheduled)
- 2026 KSIAM Fall Conference, Jeju (Poster, sheduled)
- 2026 KSIAM A3, Deajeon (Poster)
- 2025 Quantum Techniques in Machine Learning, Singapore (Poster)
- 2025 KAIST Math Graduate Student (KMGS) Seminar, Deajeon (Oral)
- 2024 KSIAM Spring Conference (Poster)
Grants and Scholarships
- 2026 SNI AI Fellowship (Sept. 2026 - )
- 2024 NRF Next Generation Researchers Support Program (Sept. 2024 - Aug. 2025)
- Government-Funded TA Scholarships, KAIST (Feb. 2024 - Now)
Teaching Experience
- 2025 Winter MLSC Lab URP program
- 2025 KMS-NIMS Artificial Intelligence Summer School (TA)
- 2025 YMC Teaching Assistant
- KAIST TA Scholarships
- HPC Administrator (Fall 2024 - Spring 2026)
- MAS110: Linear Algebra for Data Science (Fall 2024)
- MAS250: Probability and Statistics (Spring 2024)