Christian Johnson
Machine Learning Engineer at VoteShield
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolChristian Johnson is a machine learning engineer with 11 years of quantitative experience, currently building anomaly-detection systems for voter registration integrity at VoteShield. He transitioned from applied research at RAND—where he modeled disinformation and Truth Decay—to ML production work that blends statistical rigor with operational impact. Trained as an experimental particle physicist (PhD, UC Santa Cruz), he brings advanced data-analysis and custom software skills honed analyzing gamma-ray data and advising students on experimental design. Comfortable moving models from research to deployment, he combines domain expertise in high-stakes civic systems with a curiosity for subtle, physics-inspired signal detection techniques.
11 years of coding experience
9 years of employment as a software developer
University of California Santa CruzBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of North Carolina at Chapel Hill
Github Skills (37)
pdf9
spatial8
plot8
geometry7
markdown7
filesystem7
cartopy7
file-explorer7
helix7
cli7
neovim6
vega-lite6
vim6
file-manager6
geography6
Programming languages (3)
Github contributions (5)
christian-johnson/cuba-sonic-weapon
Oct 2017 - Apr 2024
Contributions:7 pushes, 1 branch in 6 years 7 months
christian-johnson/christian-johnson.github.io
Jun 2017 - Oct 2020
Contributions:121 pushes, 3 branches in 3 years 4 months
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