Jakwang Kim(김자광)

Currently, I am a postdoctoral researcher in the PIMS Kantotrovich Initiative Postdoctoral Fellow at the University of British Columbia, Vancouver jointly advised by Prof. Young-Heon Kim, Prof. Soumik Pal(UW-Seattle), Prof. Khanh Dao Duc, and Prof. Geoffrey Schiebinger. In May 2023, I received my Ph.D. in Statistics from the University of Wisconsin-Madison where I was fortunately advised by Prof. Nicolas Garcia Trillos. Prior to joining the Ph.D. program, I received a B.A and M.A in Economics from Korea University in Korea. From fall 2025, I will join the School of Data Science of the Chinese University of Hong Kong, Shenzhen as an assistant professor.

My current research broadly focuses on the application of optimal transport in statistics, machine learning and computer science. During my graduate study, I researched the adversarial training problem by generalized Wasserstein barycenter perspective. Recently, I am studying free target problem in optimal transport and applying it to statistics and machine learning. 

On the other hand, I am interested in the application of the Schrödinger bridge problem to various problems in statistics and computer science: Ricci curvature in graphs and Föllmer's process over them. Phase transition phenomena in various fields are always of interest to me.

Recently, I am working on spin glass; random energy model and its variants. 

Contact email : jakwangkim at cuhk.edu.cn