Xinyi (Tracey) Zhong

I am interested in high dimensional statistics and computational economics. I am working as a Machine Learning Engineer intern at Meta in Menlo Park in the summer of 2022.

I am a Ph.D. candidate in the Department of Statistics and Data Science at Yale University. I am very fortunate to be advised by Prof. Zhou Fan. Prior to that, I received my bachelor’s degree from Tsinghua University, where I studied Mathematics and Linguistics.

Research

Xinyi Zhong, Chang Su, and Zhou Fan. Empirical Bayes PCA in high dimensions. Journal of the Royal Statistical Society: Series B, 2022. (software) (code)

Xinyi Zhong, Tianhao Wang, and Zhou Fan. Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization. (code)

Tianhao Wang, Xinyi Zhong, and Zhou Fan. Universality of Approximate Message Passing algorithms and tensor networks

Professional Service

Journal reviewer: IEEE Journal on Selected Areas in Information Theory

Honors and Awards

Qinghe Scholarship, Tsinghua University, 2017

Distinguished Graduates, Tsinghua University, 2018

D.E. Shaw & Co. Zenith Fellowship, 2021

Two Sigma Ph.D. Fellowship, 2022