About

I am a Senior Machine Learning Researcher at RBC Borealis. I received my Ph.D. from Simon Fraser University (SFU), where I was advised by Prof. Yasutaka Furukawa. Prior to SFU, I completed my M.Sc. at Seoul National University (SNU) under the supervision of Prof. Cho Nam Ik, and my B.Sc. in Electrical and Computer Engineering at SNU.

My research interests include computer vision, geometric deep learning, anomaly detection, and time series forecasting.

News

• Aug 2026 FairNVT: Fair Classification via Noise Injection in Vision Transformers accepted to Transactions on Machine Learning Research (TMLR).
• Mar 2026 Improving Fairness via Noise Injection in Vision Transformers accepted as a poster at Algorithmic Fairness Across Alignment Procedures and Agentic Systems workshop @ ICLR 2026.
• Jan 2026 Lead Organizer and Program Chair of the workshop Catch, Adapt, and Operate: Monitoring ML Models Under Drift at ICLR 2026, Rio de Janeiro, Brazil.
• July 2025 Participated as a panelist in co&co x Vector Institute, AI Career Compass: Navigating Career Paths from Opportunities to Understanding Your Market Value.
• Jun 2025 Scalable Temporal Domain Generalization via Prompting accepted to ICML 2025, Workshop of Test-Time Adaptation.
• Jan 2025 Radar: Fast Long-Context Decoding for Any Transformer accepted to ICLR 2025.
• Dec 2023 Joined RBC Borealis as Machine Learning Researcher.
• Sep 2023 PuzzleFusion accepted to NeurIPS 2023 (Spotlight!).

Work Experience

Selected Publications