Young-Han Son

Hello! I’m Young-Han Son, a PhD student in the Department of Artificial Intelligence at Korea University.

My research focuses on embedding physics into machine learning. In computational lithography, I embed optical physics, such as diffraction theory, into ML architectures for lithography modeling and mask optimization. In chemistry, I work on DFT-based models, mainly machine learning force fields (MLFFs) and, more recently, transition state estimation.

I also co-supervise projects in medical AI.

Outside of research, I’m a coffee lover ☕ — I enjoy AeroPress and hand-drip brewing, and love exploring a variety of coffee beans.