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Welcome! I am a first-year 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. |
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I am interested in geometry related problem, such as latent space model for graph, optimal transportation and spatial statistics. I am also fascinated by problems in computational statistics. The following is a list of past research projects: |
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Zhexu Jin, Mario Andrés Velásquez Angel, Ivan Mura, Juan Felipe Franco Front. Environ. Sci., 2022 [doi] [bibtex] [code] 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. |
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Zhexu Jin, Gaoyang Li, Huansheng Cao, and Dongmian Zou Neurips 2022 Workshop: Medical Imaging Meets Nuerips [abstract] [poster] We designed a new loss based on persistent homology, a tool developed in computational topology, to match the geometry of segmentation network output with the groudtruth segmentation. |
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Blog Posts |
More to come! |
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This guy makes an awesome website. |