Zhexu Alex Jin

Welcome! I am a PhD student at the statistics department in University of Illinois, Urbana Champaign.

I spent my undergraduate years in Kunshan, China and Durham, North Carolina, where I recieved my data science degree and graduated with distinction at Duke Kunshan University and Duke University.

In my undergraduate years, I was very fortunate to be working with Dr. Dongmian Zou on geometric machine learning and medical imaging, and with Dr. Ivan Mura on spatial temporal interpolation, stochatsic petri net and stochastic modeling.

Email  /  Google Scholar  /  Github  /  CV

I am interested in geometry related problem, such as latent space model for graph, optimal transportation and topological data analysis. I am also generally fascinated by interdisciplinary problems in data science.

The following is a list of past research projects:

We used spatial temporal kriging to identify a highly polluted cluster located in the south-west cluster in the city of Bogotá. Within this cluster, we observe a disproportionate representation of people from several vulnerable groups.

Proposed to regularize geometry of the segmentation output produced by network using losses inspired by persistent homology We sped up the loss computation via a 1-dimensional simplification and implemented the new loss based on lower star filtration. Benchmarked the proposed method against other commonly used instance segmentation methods

• STAT 107 Fall 2023*
• STAT 107 Spring 2024**

This guy makes an awesome website.