About me

I’m a Ph.D. student in Statistics at the University of Southern California (USC) Marshall School of Business. I’m mainly interested in network science including statistical inference on networks and graph neural networks. Besides, I am also broadly interested in the theory of machine learning and statistical learning. Recently, I have been focused on conformal prediction and fairness of machine learning. I am also a big fan of modeling reasoning via visualization. Check out this interactive platform for glacier segmentation (it takes a while to load the website, please be patient :) ). I’m advised by Prof. Paromita Dubey.

I did my undergraduate at Renmin University of China in Statistics and Applied Math (double Major), I was advised by Prof. Yilin Wu and Prof. Qijiang Song. And I also worked with Prof. Yichen Qin at the University of Cincinnati. I did my master’s at University of Wisconsin Madison in Statistics where I was advised by Prof. Kris Sankaran and Prof. Keith Levin