Seungwoong’s interests range from statistical physics, complex systems, network science, social science, artificial intelligence, and deep learning as well. During his Ph. D., he attempted to solve problems in complex systems by constructing novel and interpretable neural networks. Now he is slightly shifting his focus to more social systems and wants to formulate/model the emergence/evolution of diverse social phenomena. At SFI, He will mainly explore how people’s knowledge and opinions change in the community from both belief dynamics and machine learning perspectives.

Seungwoong received his B.S., M.S., and Ph.D. in Physics from KAIST, and previously at the School of Computational Sciences at the Korea Institute for Advanced Study (KIAS) as a Postdoctoral research fellow.