Yizhe Zhu 

I'm a Visiting Assistant Professor at University of California, Irvine. I'm also a Postdoc in the Collaboration on the Theoretical Foundations of Deep Learning. My mentor is Roman Vershynin.

In the fall semester of 2021, I was a Postdoc Fellow at Simons Laufer Mathematical Sciences Institute (formerly MSRI) for the program Universality and Integrability in Random Matrix Theory and Interacting Particle Systems in Berkeley, California. I obtained my Ph.D. in Mathematics from the University of California, San Diego  in 2021. My advisor is Ioana Dumitriu.  I obtained Bachelor's degree in Mathematics and Applied Mathematics from Shanghai Jiao Tong University. My  CV is here.

Email:  yizhe.zhu[at]uci.edu                                

Office: 510V Rowland Hall


Spring 2024: MATH 3A (Introduction to Linear Algebra)

Spring 2023: MATH 130A (Probability Theory I) and MATH 130C (Stochastic Process)

Spring 2022: MATH 3A (Introduction to Linear Algebra) and MATH 130C (Stochastic Process)

Math 199 (Supervised Reading and Research) Spring 2022/2023/2024, Autumn 2023, Winter 2023/2024

Research Interests

I am interested in probability, combinatorics, and their applications in data science. I am working on:

I'm co-organizing the Combinatorics and Probability Seminar at UCI.

[Google Scholar profile]


*  denotes an undergraduate author




Nov 4-8,  Recent developments beyond classical regimes in statistical learning, Institut de Mathématiques de Toulouse, France

Aug 12-16, Bernoulli-IMS 11th World Congress in Probability and Statistics, Bochum, Germany

Aug 3-8, 2024 Joint Statistical Meetings, Portland

June 17-28, Random Matrix Theory Summer School, University of Michigan

May 20-22, Random Matrices and Applications, ICERM, Brown University

May 16-17, MoDL Collaboration Meeting 2024, UCSD

April 27, Southern California Applied Mathematics Symposium (SOCAMS) 2024, UCSD

April 19-20,  Random Matrices and Free Probability, MAA Rocky Mountain Section Meeting

April 17, CMX Lunch Seminar, Caltech

Feb 25-28, The 35th International Conference on Algorithmic Learning Theory (ALT 2024), San Diego

Feb 18-23, Information Theory and Applications Workshop (ITA 2024), San Diego

Jan 21-27, Desert Discrete Math Workshop, Steele/Burnand Anza-Borrego Desert Research Center, Borrego Springs


Nov 16-17, Conference on the Mathematical Theory of Deep Neural Networks (DeepMath 2023), Johns Hopkins University

Oct 10-12, Algorithms for Threat Detection PI Workshop, George Mason University

Sep 28-29, Mathematical and Scientific Foundations of Deep Learning Annual Meeting, New York

Aug 9, Seminar on Statistics, Hong Kong University of Science and Technology

Jul 10-14, Methods for Low Rank Matrices and Tensors, Sampling Theory and Applications Conference (SampTA 2023), Yale University

Jul 6, Oberseminar Stochastik, Institude for Applied Mathematics, University of Bonn, Germany

Jul 3, MIDS Seminar, Mathematical Institute for Machine Learning and Data Science, Katholische Universität Eichstätt - Ingolstadt, Germany

Jun 28-30, 21st INFORMS Applied Probability Society Conference, Nancy, France

May 23-24, Collaboration on the Theoretical Foundations of Deep Learning Meeting, Toyota Technological Institute at Chicago

Apr 25-27, Artificial Intelligence and Statistics (AISTATS) 2023, Valencia, Spain

Apr 22, Southern California Applied Mathematics Symposium, UC Irvine

Apr 13-14, UCLA Synthetic Data workshop

Mar 27-31,  Spectra of Random Graphs and Related Combinatorial Problems, Eurandom, Eindhoven, Netherlands

Feb 12-17, Information Theory and Applications Workshop, San Diego

Jan 4-7, AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data, JMM 2023, Boston