I am a machine learning researcher at AITRICS, a healthcare AI startup in Korea, under Professor Eunho Yang’s supervision. I completed my Master’s degree in Artificial Intelligence at KAIST under Professor Yang and hold a Bachelor’s degree in Computer Science and Mathematics from KAIST.

I am open to research collaborations globally and intend to pursue doctoral studies beginning Fall 2026. Should my research interests align with your work, I would be pleased to discuss potential collaborations.

My research focuses on developing trustworthy machine learning systems for reliable deployment through robust deep generative models, algorithms with strong empirical and theoretical foundations, and theoretical analysis with machine learning theory.

Research Interests:

• Trustworthy Machine Learning
• Deep Generative Models
• Machine Learning Theory

My research has explored trustworthy machine learning across domains including 3D point clouds, speech recognition, and time series: out-of-distribution generalization, explainability, and uncertainty calibration.

Moving forward, I aim to develop trustworthy deep generative models and theoretical frameworks for AI systems, particularly generalization error bounds, through theoretically grounded algorithms and rigorous theoretical analyses.