统计学博士（辅修数学），威斯康星大学麦迪逊分校（2017-2023，导师为Nicolas Garcia Trillos）

金紫光（Jakwang Kim）是香港中文大学（深圳）数据科学学院的助理教授。在加入该校之前，他曾在不列颠哥伦比亚大学（温哥华）担任PIMS Kantorovich计划的博士后研究员，并由Young-Heon Kim教授、Soumik Pal教授（华盛顿大学-西雅图）、Khanh Dao Duc教授和Geoffrey Schiebinger教授联合指导。他于2023年在威斯康星大学麦迪逊分校获得统计学博士学位，导师为Nicolas Garcia Trillos教授。博士之前，他在韩国高丽大学获得经济学学士和硕士学位。

1. The multimarginal optimal transport formulation of adversarial multiclass classification (joint work with Nicolas Garcia Trillos and Matt Jacobs)
Journal of Machine Learning Research

2. On the existence of solutions to adversarial training in multiclass classification (joint work with Nicolas Garcia Trillos and Matt Jacobs)
European Journal of Applied Mathematics

3. An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification (joint work with Nicolas Garcia Trillos, Matt Jacobs and Matt Werenski)
Journal of Machine Learning Research

4. Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space (joint work with Geoffrey Schiebinger, Sharvaj Kubal)
Annals of Statistics(to appear)