August 26, 2021
Zhimei Ren, Postdoctoral Scholar
Zhimei Ren obtained her Ph.D. in Statistics from Stanford University, advised by Professor Emmanuel Candès and her Bachelor’s degree in Statistics from Peking University. She is broadly interested in multiple hypothesis testing, survival analysis, distribution-free inference and data-driven decision-making. In her spare time, she enjoys music, playing basketball and hiking.
Cong Ma, Assistant Professor
Cong Ma was most recently a postdoctoral researcher at the University of California, Berkeley. He obtained his PhD in operations research and financial engineering from Princeton University, and his bachelor's degree in electrical engineering from Tsinghua University. He is broadly interested in the mathematics of data science, with a focus on the interplay between statistics and optimization. The main theme is to develop computationally and statistically efficient estimation and inference methods for large-scale data science problems. In his spare time, he enjoys playing badminton, and hiking.
Yandi Shen, William H. Kruskal Instructor
Yandi Shen obtained his PhD in Statistics at University of Washington, advised by Fang Han and Daniela Witten and his bachelor’s degree in Mathematics and Applied Mathematics from Zhejiang University. His research is on nonparametric regression and he is interested in studying the statistical limits of estimation and testing in benchmark non-parametric statistical models. He also enjoys thinking about problems in probability theory, especially those with strong motivations and applications in statistics and machine learning.