BIO

I am a researcher specializing in HCI & Data Science, with extensive experience in LLMs, ML/DL, data mining, data visualization, and statistical modeling. Through my Ph.D. at KAIST and M.S. at POSTECH, I have built a strong theoretical foundation and advanced implementation skills, enabling me to design scalable, explainable, and robust models for real-world applications. My research integrates HCI, UX research, and ergonomics with data-driven approaches to enhance UI/UX, privacy and security, and mental health inference applications. In particular, I have developed an explainable and robust digital phenotyping approach by leveraging digital human interaction routine mining and ensemble modeling, improving AI model interpretability, efficiency, and stability. With numerous publications and patents, I strive to develop technically robust and explainable AI systems.

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