About me

Hi! I’m an incomping Ph.D. student in Machine Learning at Georgia Tech, where I’ll be advised by Prof. Zsolt Kira. Currently, I’m an AI Fellowship Intern at Krafton AI. Previously, I was an undergraduate researcher at Seoul National University, advised by Prof. Gunhee Kim.

My research focuses on developing embodied AI agents that learn through trial and error. I’m particularly interested in:

• LLM/VLM Agents
• Vision-Language-Action Models
• Reinforcement Learning

Publications

• Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
  Jaehyeon Son, Soochan Lee, Gunhee Kim
  ICLR 2025
  [paper] [code]

• When Meta-Learning Meets Online and Continual Learning: A Survey
  Jaehyeon Son*, Soochan Lee*, Gunhee Kim (*: equal contribution)
  IEEE TPAMI 2024
  [paper]

• Learning to Continually Learn with the Bayesian Principle
  Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim
  ICML 2024
  [paper] [code]

• Recasting Continual Learning as Sequence Modeling
  Soochan Lee, Jaehyeon Son, Gunhee Kim
  NeurIPS 2023
  [paper] [code]

Experience

• Krafton
  Mar. 2025 - Present
  AI Fellowship Intern

• Vision & Learning Lab, Seoul National University
  Jul. 2022 - Mar. 2025
  Undergraduate Researcher

• NCSOFT
  Jul. 2021 - Aug. 2021
  Research Intern

Education

• Incoming Ph.D. student in Machine Learning, Georgia Institute of Technology
  Fall 2025

• B.S. in Statistics and Artificial Intelligence, Seoul National University
  Mar. 2017 - Aug. 2023

Honors & Awards

• Krafton AI Fellowship
  Feb. 2025

• Honor of Summa Cum Laude
  Aug. 2023

• Songam Scholarship
  Mar. 2017 - Feb. 2023