Jungang Zou

Teaching Assistant at Columbia University in the City of New York

New York, New York, United States
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Summary

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Senior
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Top School
Jungang Zou is a PhD candidate in Biostatistics at Columbia University with eight years of experience bridging software engineering and statistical research, currently serving as a graduate research assistant and teaching assistant. His work centers on Bayesian methods for handling missing data, informed by strong practical skills in data mining, deep learning, and large-scale data tools like Spark. Comfortable across C, C++, Java, Python, R, and SQL, he has applied these languages in both academic research and quantitative development at WorldQuant. Known for translating complex statistical ideas into reproducible code and coursework, he brings a rare combination of rigorous biostatistics training and hands-on software engineering from a software engineering bachelor’s background. Based in New York, he focuses on reproducible, computation-efficient solutions for real-world biomedical data problems.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Columbia University in the City of New York
bookBachelor of Engineering - BE, Software Engineering, Bachelor of Engineering - BE, Software Engineering at 厦门大学
languagesEnglish, Chinese
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1reputation
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Programming languages (1)

JavaScript

Github contributions (5)

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zjg540066169/SBMTrees

May 2024 - Dec 2024

Contributions:3 releases, 177 pushes, 8 tags in 6 months
zjg540066169/BMIselect

Sep 2022 - Nov 2022

Contributions:60 commits, 52 pushes in 1 month
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Jungang Zou - Teaching Assistant at Columbia University in the City of New York