Zhexu Alex Jin

Welcome! I am a PhD candidate at the statistics department in University of Illinois, Urbana Champaign. I am advised by Dr. Joshua Agterberg.

I study the computational and statistical limits of machine learning and nonconvex optimization. I use tools from high-dimensional statistics, random matrix theory, riemannian optimization and complexity theory to understand when and why learning algorithms succeed and to develop more reliable methods.

I recieved my data science Bachelor degree at Duke Kunshan University and Duke University. In my undergraduate years, I worked with Dr. Dongmian Zou and Dr. Ivan Mura on geometric machine learning and stochastic modeling.

Email  /  Google Scholar  /  Github  / 

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Selected Works
Clustering Mixtures of Common Subspace: Riemannian Optimization, Statistical and Computational Limits
Zhexu Jin, Joshua Agterberg
preprint coming soon
TopoUT: Enhancing Cell Segmentation Through Efficient Topological Regularization
Shanru Lin, Temirlan Sabyrbayev, Zhexu Jin, Gaoyang Li, Huansheng Cao, Dongmian Zou
IEEE International Symposium on Biomedical Imaging (ISBI), 2024
[doi] [bibtex] [code]
Enriched spatial analysis of air pollution: Application to the city of Bogotá, Colombia
Zhexu Jin, Mario Andrés Velásquez Angel, Ivan Mura, Juan Felipe Franco
Frontiers in Environmental Science, 2022
[doi] [bibtex] [code]
Talks and Presentations
Mixture of Common Subspace: Riemannian Optimization, Statistical and Computational Limit
Joint Statistical Meetings (JSM), 2026 [poster]
TopoUT: Enhancing Cell Segmentation Through Efficient Topological Regularization
International Symposium on Biomedical Imaging, 2024 [poster]

Teaching

University of Illinois Urbana-Champaign logo

Lab and Discussion Teaching Assistant

  • STAT 107: Data Science Discovery (Fall 23*, Spring 24*)
  • Blackwell Summer Scholars Program (Summer 24)

*: List of Teachers Ranked as Excellent by Their Students

Grading Teaching Assistant

  • STAT 426: Statistical Modeling II (Fall 24, Spring 25)
  • STAT 511: Mathematical Statistics (Fall 25, Fall 26)

This guy makes an awesome website.