Biography

Junghyun Lee is a final-year PhD candidate at the Kim Jaechul Graduate School of AI, KAIST, jointly advised by Professors Se-Young Yun (OSI Lab) and Chulhee “Charlie” Yun (OptiML Lab). His research focuses on mathematical and theoretical AI, particularly interactive machine learning (bandits, reinforcement learning, and active learning), theoretical aspects of LLMs (alignment, reasoning, and safety), deep learning theory, optimization theory, and statistical analysis of large networks and community detection.

He spent the summer of 2025 as a Research Scientist Intern at Adobe Research, San Jose, working with Branislav “Brano” Kveton and colleagues. He earned his MSc from KAIST’s Graduate School of AI and his BSc in Mathematical Sciences and Computer Science (double major, cum laude), also from KAIST.

His work has been presented at international AI conferences including AISTATS, NeurIPS, ICLR, and AAAI. He received the ICML 2026 Gold Reviewer Award, AISTATS 2025 Best Reviewer Award, OPODIS 2023 Best Student Paper Award, and recognition at Korean AI conferences including KSC, JKAIA, and CKAIA. His complete publications, reviewing and awards, and experience are available on this website.