Yongjin Han

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Seoul, South Korea

I am interested in reasoning and safety for trustworthy AI, with a focus on understanding the behavior of large language models. Previously, I worked on certified robustness in AI/ML and on software security grounded in programming language theory.

I am currently working with Prof. Suhyun Kim, who provides valuable guidance as I pursue independent research with strong self-motivation.

I earned a Master’s degree in Computer Science at University of California, Davis advised by Prof. Ian Davidson. Under supervision of Prof. Davidson, I studied deep fair clustering using constraint programing (CP) and learned that CP can be effectively apllied to ML systems. I obtained my Bachelor’s degree in Computer Science and Engineering at Dongguk University. Prof. Yunsik Son first introduced me to programming language, secure software and related research area.

In my free time, I usually cook (click!) or watch movies.

Recent works

  1. Lipschitz-aware Linearity Grafting for Certified Robustness
    Yongjin Han, and Suhyun Kim
    arXiv preprint arXiv:2510.25130, 2025