I am a machine learning researcher at AITRICS, a healthcare AI startup in Korea, where I am fulfilling my alternative military service under the supervision of Professor Eunho Yang. Prior to joining AITRICS, I completed my Master’s degree in Artificial Intelligence at KAIST, also under Professor Yang’s guidance. Additionally, I hold a Bachelor’s degree in Computer Science and Mathematics from KAIST.

My research has focused on the essential dimensions of trustworthy machine learning, explored across various application domains including 3D point cloud classification, automatic speech recognition, tabular learning, and time series analysis:

• Out-of-distribution generalization
• Explainability
• Uncertainty calibration

As I progress in my academic and research journey, I am particularly drawn to the development of trustworthy deep generative models and the theoretical frameworks that can demystify artificial intelligence systems, especially in terms of generalizaion error bounds. My long-term research vision aims to establish truly trustworthy machine learning systems through two complementary approaches:

• Designing empirically well-motivated and theoretically grounded practical algorithms
• Conducting rigorous theoretical analyses of empirical machine learning techniques

I am open to research collaborations on a global scale and intend to pursue doctoral studies beginning in Fall 2026. Remote collaboration opportunities are welcome. Should my research interests align with your work, I would be pleased to discuss potential collaborations.