Junghyun Lee

Junghyun Lee

PhD Student

KAIST AI

Welcome!

I am a third-year PhD student at the Kim Jaechul Graduate School of AI, KAIST, where I am fortunate to be advised by Se-Young Yun (OSI Lab) and Chulhee “Charlie” Yun (OptiML Lab). I am an incoming intern at Adobe Research, San Jose, for the Summer of 2025, where I will work with Branislav “Brano” Kveton.

My research focuses primarily on interactive machine learning and statistical analyses of large networks, with an emphasis on community detection. In particular, I have been recently looking into problems related to RLHF and preference learning. More broadly, my interests encompass all aspects of mathematical and theoretical AI, as well as related problems in mathematics.

I enjoy organizing seminars and workshops to foster Korea’s theoretical AI community; see ‘Organizer’. Outside of research, I am an avid violinist and currently perform as a first violinist with PROJECT Starlight. Previously, I performed with the KAIST Orchestra (KAO), MDOP Orchestra, Merry Orchestra, and KAO-S.

Feel free to reach out if you’d like to collaborate on any of my research topics or just to connect! (Third-person bio here.)

(Last updated: December 30, 2024.)

Interests
  • Bandits, Online Learning
  • Statistical RL
  • Community Detection, Networks
  • Statistics, Learning Theory
  • DL/Optim Theory
  • Algorithmic Fairness
  • Distributed Algorithms
Education
  • PhD in Artificial Intelligence (GSAI), 2023-

    Korea Advanced Institute of Science and Technology

  • MSc in Artificial Intelligence (GSAI), 2021-2023

    Korea Advanced Institute of Science and Technology

  • BSc in Mathematical Sciences and Computer Science (double major, cum laude), 2017-2021

    Korea Advanced Institute of Science and Technology

Contact

  • jh_lee00(AT)kaist.ac.kr
  • 85 Hoegi-ro, Dondaemun-gu, Seoul, 02455