Focus Period lund 2026
PhD Student
Kim Jaechul Graduate School of AI – KAIST (South Korea)
Jaeyoung Cha is a third-year PhD student at the Kim Jaechul Graduate School of AI, KAIST, advised by Chulhee “Charlie” Yun (OptiML Lab). His research focuses on the theoretical foundations of modern deep learning, with particular emphasis on convex optimization, including the analysis of shuffling stochastic gradient methods. Recently, he has also been looking into theoretical and algorithmic problems in large language models, including length generalization and speculative decoding.
His work has been published at leading international machine learning conferences, including ICML (with an oral presentation), NeurIPS, and ICLR. He has also served as a reviewer for these venues and received a Top Reviewer Award. Jaeyoung earned his MSc in AI from KAIST and his BSc in Cyber Security (major, summa cum laude) and Mathematics (minor) from Korea University.