About Me
I am a Ph.D. student in the integrated M.S./Ph.D. program at KAIST AI, working in the Optimization & Machine Learning Laboratory (OptiML) under the supervision of Prof. Chulhee Yun. My research focuses on theoretical machine learning and optimization, particularly on understanding learning and optimization algorithms. I received my B.S. in Mathematical Sciences from KAIST.
News
Our paper, Beyond Rate Optimality: How Polyak’s Momentum Shapes Non-Convex Optimization, was accepted to the NeurIPS 2026 OPT Workshop.
Our paper, Understanding Polyak’s Momentum in Deep Learning May Require Rethinking Non-Convex Optimization, was accepted to the ICML 2026 High-dimensional Learning Dynamics (HiLD) Workshop.
Transitioned to the integrated M.S./Ph.D. program in AI at KAIST.
Our paper, Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent, was accepted to ICML 2025.
Started the M.S. program in AI at KAIST.
Publications
NeurIPS 2026 Workshop on Optimization for Machine Learning (OPT)
ICML 2026 Workshop on High-dimensional Learning Dynamics (HiLD)
ICML 2025
Statistical Analysis and Data Mining, 2025