I'm a Master's student in Computer Science at Texas A&M University, advised by Prof. Kuan-Hao Huang. I previously earned my BS in Physics and BA in Economics from Seoul National University, along with a minor in Computer Science.

My current research focuses on multilingual large language models, particularly on understanding how these models represent and process knowledge across languages. I am especially interested in language alignment and interpretability, studying how these models encode language-specific and shared knowledge and how these internal mechanisms influence behavior. Recently, I have been working on model editing and machine unlearning in multilingual settings.

Before beginning my graduate studies, I worked as a Machine Learning Engineer across diverse environments, from early-stage startups to large enterprises in the Korean tech industry. During this time, I improved machine translation models to better match domain-specific data distributions, developed personalized TTS models using limited data, and built real-time search systems for e-commerce platforms. These experiences shaped my interest in bridging machine learning research with real-world applications and building reliable deep learning systems.