Jingyuan Chen

Doctoral Student

PhD, Information Sciences, Illinois

AB, Mathematics & Statistics, University of California, Berkeley

https://jingyuanchenxyz.github.io/

Research focus

Currently I am interested in large random measurable combinatorial structures such as Graphons and their applications in information theory and explainable neural networks. I am also interested in computer assisted proofs, recommender systems and the pedagogy of statistics.

Honors and Awards

Department of Mathematics and Department of Statistics Honors, UC Berkeley

Advisor

Matthew Turk

Presentations

Chen, J., & Xie, K. (2024, December). Fast Low-Rank Up and Downdate Eigenvector Updates for High-Dimensional Covariance Matrices [Poster]. Advanced Matrix Computations, SLICE Lab, UC Berkeley Electrical Engineering and Computer Science Department. Berkeley, CA, United States.

Chen, J., & Yao, D. (2024, December). Empirical Findings on Spectral Properties of Return Covariance Matrices [Presentation]. Joint Risk Seminar, Consortium for Data Analytics in Risk, UC Berkeley Department of Economics. Online.