1. Xin Yee Lam, National University of Singapore

Homepage: https://discovery.nus.edu.sg/13600-xin-yee-lam/publications

Xin Yee Lam is a Lecturer in the Department of Mathematics, National University of Singapore (NUS). Her main research areas include applied mathematics, numerical and computational mathematics, and statistics. In this program, she is a lecturer for a short lecture on portfolio optimization.

2. Xinyuan Zhao, Beijing University of Technology, China

Homepage: https://english.bjut.edu.cn/info/1611/7176.htm

Xinyuan Zhao is currently a professor at the School of Mathematical Statistics and Mechanics, Beijing University of Technology (BJUT). Her research focuses on matrix optimization problems, fast algorithms for large-scale statistical problems, and machine learning. She introduced the HPR-QP method for solving large-scale complex convex quadratic programming problems.

3. Yangjing Zhang, Chinese Academy of Sciences

Homepage: https://sites.google.com/view/yangjingzhang/

Yangjing Zhang is currently an Associate Professor at the Institute of Applied Mathematics, Chinese Academy of Sciences (CAS). Her research focuses on large-scale sparse optimization, efficient algorithm design for statistical models, and matrix variable data analysis.

4.Lin Meixia, Renmin University of China

Homepage: https://linmeixia.github.io/

Meixia Lin is an Associate Professor at the School of Statistics and Data Science, Renmin University of China. Her research interests lie in developing models and algorithms in data science with emphasis on large-scale application problems arising in machine learning, statistical estimations, and operations research.