About me
Building intelligent systems that can see, learn, and help, connecting robust machine learning with meaningful real-world impact.
Building intelligent systems that can see, learn, and help, connecting robust machine learning with meaningful real-world impact.
I am currently pursuing an integrated M.S.–Ph.D. in the Department of Artificial Intelligence at Korea University, advised by Prof. Taui-Kam in the MAI Lab. I received my bachelor’s degree in Human-Centered Artificial Intelligence from Sangmyung University, where I developed my foundation in AI and began exploring how intelligent systems can learn from and interact with complex real-world data.
Over time, this interest has grown into a broader curiosity about how AI systems can move beyond strong predictive performance to learn meaningful representations, remain reliable under uncertainty, and provide practical value in real-world settings. These questions continue to shape the direction of my research.
I have worked as a Research Engineer Intern at Gnewsoft. My primary research focus is medical AI, with broader interests in computer vision, generative modeling, and deep learning. I am particularly interested in developing learning systems that are both technically robust and practically meaningful.
Additional information about my work can be found in the publications and projects sections. For inquiries, feel free to get in touch by sending me a note.