Shannon Quinn

Senior Staff Machine Learning Engineer at Valo Health

Athens-Clarke County Unified Government, Georgia, United States
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Summary

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Shannon Quinn is a Senior Staff Machine Learning Engineer with 15 years of experience building large-scale data science systems that intersect public health, biomedical imaging, and computational biology. Currently at Valo Health after roles founding ML efforts in spatial single-cell proteomics and serving in academia as an associate professor, Shannon blends production-grade systems and network programming expertise with deep domain knowledge in bioinformatics. He’s skilled across servers, databases, distributed computing, and high-throughput image processing, and he gravitates toward projects that translate large-scale data mining into direct public benefit. An itch for freelance work and open-source advocacy keeps him exploring alternative technologies and staying sharp in both engineering and conceptual pursuits. Driven by a PhD background in computational biology, he has a proven track record of turning complex biomedical datasets into actionable insights that speed discovery.
code16 years of coding experience
job11 years of employment as a software developer
bookB.S., Computer Science, B.S., Computer Science at Georgia Institute of Technology
bookDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of Pittsburgh
bookM.S., Computational Biology, M.S., Computational Biology at Carnegie Mellon University
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Github Skills (142)

python10
feature-engineering10
loops10
hyperparameter-optimization10
automation10
automl10
random-forest10
twitter10
statistics10
gradient-boosting10
activitypub10
mastodon10
jupyter-widget10
ipython-magic10
garmin10

Programming languages (20)

SmartyJavaC++CSSRustScalaTeXGo

Github contributions (5)

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dsp-uga/sp18

Nov 2017 - Apr 2018

Contributions:68 commits, 30 pushes, 1 branch in 5 months
eds-uga/csci-x360-fa21

Aug 2021 - Dec 2021

Contributions:72 commits, 47 pushes, 1 branch in 4 months
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