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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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Zhexu Jin, Joshua Agterberg preprint coming soon |
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Shanru Lin, Temirlan Sabyrbayev, Zhexu Jin, Gaoyang Li, Huansheng Cao, Dongmian Zou IEEE International Symposium on Biomedical Imaging (ISBI), 2024 [doi] [bibtex] [code] |
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Zhexu Jin, Mario Andrés Velásquez Angel, Ivan Mura, Juan Felipe Franco Frontiers in Environmental Science, 2022 [doi] [bibtex] [code] |
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Joint Statistical Meetings (JSM), 2026 [poster] |
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International Symposium on Biomedical Imaging, 2024 [poster] |
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Lab/Discussion Teaching Assistant:
Grading Teaching Assistant:
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Blog Posts |
More to come! |
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This guy makes an awesome website. |