Zhuoqing Fang

Machine Learning Engineer at Stanford

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Summary

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Rockstar
Zhuoqing Fang is a Machine Learning Engineer with 12 years of experience specializing in computational genomics and graph-based ML. He blends domain knowledge in genomics with advanced graph methods to extract structure from biological data and drive predictive models. Based in China, he brings a research-minded approach to practical engineering problems, likely comfortable moving prototypes toward production. His GitHub focus on computational genomics and graphs suggests strong skills in algorithm design and data-driven discovery beyond typical ML pipelines.
code12 years of coding experience
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Github Skills (79)

package-management10
python10
gtk10
qt10
data-visualization10
rust10
bioconda10
data-science10
conda10
t-test10
matplotlib10
bioinformatics10
snakemake9
seurat9
uniprot9

Programming languages (10)

JavaShellC++RCSSRustJavaScriptHTML

Github contributions (5)

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zqfang/QPCR

Feb 2014 - Feb 2020

Calculate the Delta_Ct, Delta_Delta_Ct , Fold Changes and Student's t-tests from qRT-PCR experiment
Contributions:89 commits, 1 PR, 73 pushes in 6 years
t-test
zqfang/RNA-seq

Jun 2015 - Jun 2021

Contributions:23 pushes, 1 branch, 1 comment in 6 years 1 month
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