Evan Shockley
PHD Candidate
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolEvan Shockley is a Physics PhD candidate at the University of Chicago with nine years of experience focused on dark matter direct detection through the XENON1T experiment. He specializes in data analysis and the management of large, distributed datasets, applying distributed computing to extract subtle signals from complex experimental backgrounds. Based in the Greater Chicago Area, he blends deep experimental physics knowledge with practical expertise in scalable data workflows. His work requires both precision in statistical methods and hands-on systems thinking to keep high-throughput pipelines reliable. Colleagues describe him as equally comfortable scrutinizing detector performance details and architecting the compute infrastructure that makes discovery-scale analysis possible.
9 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of ChicagoBachelor's degree, Physics, Bachelor's degree, Physics at Saint Mary's University of Minnesota
Github Skills (31)
dm10
stream10
streaming10
bull9
data-management9
dali9
raw-data9
batch8
processor8
queue8
rad8
python8
esx8
jupyterlab-extension8
ragemp8
Programming languages (3)
Github contributions (5)
ershockley/admix
Apr 2021 - Aug 2022
advance Data Managment in Xenon
Contributions:7 releases, 12 PRs, 24 pushes in 1 year 3 months
xenonmanagmentdataragempesx
XENONnT/admix
Apr 2018 - Mar 2022
advance Data Managment in Xenon
Contributions:2 releases, 4 reviews, 140 commits in 3 years 11 months
xenonmanagmentdata
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