I am a second-year Ph.D. student in Statistics in the Department of Statistics and Actuarial Science of the Faculty of Mathematics at the University of Waterloo under the supervision of Prof. Aukosh Jagannath.
Previously, I obtained my M.Sc. in Mathematics at the Department of Mathematics and Statistics of the University of Victoria in Victoria, BC, Canada under the supervision of Prof. Gourab Ray. Before that, I completed my B.Sc. in Mathematics at Hebei Normal University in Shijiazhuang, China.
Here is my CV(last updated 2022/08/01)
Contact: tingzhou[dot]yu[at] uwaterloo [dot] ca Office M3 4129
My current research is mainly probability theory. I am working on the intersection of spin glasses, random matrices, and related algorithms, and solving statistical Inference through stochastic differential equations (e.g. Langevin dynamics), such as the signal recovery problem.
I am also interested in theoretical approaches to explain the phenomenon of benign overfitting in neural networks. In another direction, I am interested in phase transitions in random constraint satisfaction problems
I have previously been working on discrete probabilities and their universal scaling limit like Gaussian free fields, such as establishing the behavior of dimer models on a large class of planar random graphs.
My Master's thesis, The coupling of uniform spanning trees and quantitative Russo-Seymour-Welsh for random walk on random graphs, is available through the UVic library.
Ottawa Mathematics Conference, May 25-29, 2021.
2020 Canadian Mathematical Society (CMS) Winter Meeting, Dec 6, 2020.
ECE 503: Optimization for Machine Learning (see Project).
Bachelor thesis: The survey of the Point process (in Chinese). See here