Shuwen Chai

I am a second year PhD student in the CS Theory Group at Northwestern University, advised by Miklós Z. Rácz. Prior to this, I obtained my Bachelor’s degree in Statistics from Renin University of China in 2022.

I have a broad interest across statistical inference and algorithms on Random Graphs, statistical-computational gaps, and reliable machine learning. I am currently working on efficient algorithms for graph matching and community recovery on Correlated Stochastic Block Models on regimes where have been proved information-theoretical possible to perform exact recovery. Besides, I am also interested in establishing theoretical guarantees for various topics such as adversarial robustness and distribution shift.

In my spare time, I go to a lot of classical concerts and art museums. One of my favorite composers is Tchaikovsky (whose name has my family name as a substring) and my favorite modern pianter is Georgia O’Keeffe.