Post-training and self-improvement for language models, with a focus on exploration, adaptive curricula, knowledge distillation, reinforcement learning, memory-augmented agents, and continual learning.
Education
Sep 2025 – Present
University of Toronto · Ph.D. in Computer Science (adviser: Zhijing Jin)
Mar 2023 – Feb 2025
KAIST · M.S., Graduate School of AI (advisers: Se-Young Yun, Kimin Lee) · GPA 4.18/4.3, ranked 2nd in department
Mar 2017 – Feb 2023
Seoul National University · B.S., Electrical and Computer Engineering · GPA 4.12/4.3, Summa Cum Laude
Industry experience
Feb 2026 – Sep 2026
ServiceNow AI Research (Montreal) · Visiting Researcher, UI Assist team: memory-augmented and continual-learning methods for LM agents
Mar 2024 – Jun 2024
Naver AI Lab · Research Intern, Language Research team: uncertainty quantification & code-switching red-teaming (NAACL 2025, ACL 2025)
Jul 2021 – Aug 2021
Samsung Electronics, MX · Software Engineering Intern: Android System API logging framework
Awards & grants
Apr 2025
Connaught International Scholarship · entrance scholarship for five international students, UofT
Dec 2023
Best Paper Award, Korea Software Congress (KSC) · FedCON: Model Contrastive Federated Learning on Re-Identification
2017 – 2023
Korea National Science & Technology Scholarship · full-ride academic excellence scholarship