Jakwang Kim(김자광)

From fall 2025, I am an assistant professor of the School of Data Science of the Chinese University of Hong Kong, Shenzhen. Previously, I was the PIMS Kantotrovich Initiative Postdoctoral Fellow (postdoctoral researcher) at the University of British Columbia, Vancouver mentored 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.

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. 

Recently, I (all of you for sure) am interested in AI safety.

If you are interested in machine learning theory, optimal transport or high dimensional statistics, feel free to contact me via the below email.

Contact email : jakwangkim at cuhk.edu.cn