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.

Research Interests:

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

My research aims to build trustworthy machine learning systems for real-world deployment through robust deep generative models, theoretically grounded algorithms, and rigorous analysis rooted in machine learning theory.

I address key challenges in trustworthy ML—out-of-distribution generalization, explainability, and uncertainty calibration—that span diverse modalities such as vision, vision-language, speech, tabular data, and time series.

Looking ahead, I plan to develop trustworthy generative models and theoretical frameworks for AI, focusing on generalization error bounds and principled algorithm design.