CV

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Research interests

RL post-training for LLMs and self-improving agents, focusing on curricula and exploration in multi-domain RLVR, knowledge distillation, prompt optimization, and memory-augmented agents.

Education

Sep 2025 – Summer 2029 (expected)University of Toronto · Ph.D. in Computer Science (adviser: Zhijing Jin) · GPA 4.0/4.0
Mar 2023 – Feb 2025KAIST · M.S., Graduate School of AI (advisers: Se-Young Yun, Kimin Lee) · GPA 4.18/4.3, ranked 2nd in department
Mar 2017 – Feb 2023Seoul National University · B.S., Electrical and Computer Engineering · GPA 4.12/4.3, Summa Cum Laude

Research experience

Feb 2026 – Sep 2026ServiceNow AI Research · Visiting Researcher, UI Assist team (supervised by Alexandre Drouin and Christopher Pal): adaptive prompt teaching and RL for long-horizon agents
Sep 2025 – PresentUniversity of Toronto & Vector Institute · Graduate Researcher (advised by Zhijing Jin): transfer-aware curricula and LLM-to-SLM distillation
Mar 2024 – Jun 2024Naver AI Lab · Research Intern (supervised by Hwaran Lee): uncertainty quantification and multilingual red-teaming
Mar 2023 – Feb 2025KAIST · Graduate Researcher (advised by Se-Young Yun and Kimin Lee): language-agent exploration, preference-data filtering, and vision-language transfer learning
Jun 2022 – Sep 2022Seoul National University · Undergraduate Researcher (advised by Taesup Kim): adaptive loss reweighting for cold-start recommendation

Awards & grants

2025Connaught International Scholarship · University of Toronto
2026ICML Gold Reviewer
2017 – 2023Korea National Science & Technology Scholarship · full-ride academic excellence scholarship

Academic service

Teaching

Sep 2026 – Dec 2026Probabilistic Learning and Reasoning (CSC412) · Teaching Assistant (UofT)
Sep 2025 – Dec 2025Introduction to Programming Languages · Teaching Assistant (UofT)
Sep 2021 – Feb 2022Introduction to Algorithms · Departmental Tutor (SNU)
Mar 2018 – Aug 2018Principles of Physics I · Group Tutor (SNU)