Scholar
Youngkyu Lee
Google Scholar ID: X154AUAAAAAJ
Brown University
Citations & Impact
Citations
59
H-index
5
i10-index
1
Publications
13
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including: Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method (Mach. Learn. Comput. Sci. Eng, 2025); Two-level Overlapping Additive Schwarz Preconditioners for Training Scientific Machine Learning Applications (Computer Methods in Applied Mechanics and Engineering, 2026).
Research Experience
- Postdoctoral research fellow in Applied Mathematics at Brown University, part of the CRUNCH Group led by Prof. George Karniadakis. Teaching Assistant for Introduction to Scientific Machine Learning (Fall 2022), Linear Algebra for Data Science (Spring 2022), and Calculus II at KAIST.
Education
- Ph.D. in Mathematical Sciences from KAIST, South Korea, August 2023, Advisor: Chang-Ock Lee; B.S. in Mathematics from Kyung Hee University, South Korea, February 2017.
Background
- Research interests include computational mathematics, parallel computation, and scientific machine learning. Particularly interested in developing preconditioners to accelerate neural or numerical solvers for scientific problems.
