Teal Pershing
Staff Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolTeal Pershing is a Staff Scientist at Lawrence Livermore National Laboratory with 11 years of experience building particle detectors, developing analysis software, and delivering hardware/software tools for international nuclear safeguards research. With a PhD-level background from UC Davis, they have contributed to SNO+, WATCHMAN, and ANNIE—leading detector calibration, slow-control DAQ, and data-cleaning efforts that bridge laboratory instrumentation and statistical analysis. Teal writes and maintains analysis and simulation code (C++ and Python) used for detector design studies and operational-state inference, including a Hidden Markov Model package for reactor monitoring. Comfortable in both field deployments and codebases, they combine hands-on detector construction and electronics debugging with research-grade software engineering. Based in Livermore, CA, they bring a practical, systems-level approach to translating complex experimental requirements into robust, reproducible tools. An uncommon strength is their track record of pairing operational shifts and emergency-ready field skills with rigorously validated data pipelines for safeguards applications.
11 years of coding experience
3 years of employment as a software developer
University of California, DavisBachelor's degree, Physics, Bachelor's degree, Physics at Oregon State University
Github Skills (9)
simulation7
svn6
python6
python-scripts5
eve4
git3
counter2
geant42
react1
Programming languages (4)
Github contributions (5)
pershint/slowcontrol
Jan 2016 - Aug 2019
Contributions:33 pushes, 9 branches in 3 years 7 months
interfacesmonitoringcouchapp
pershint/SNOPlusSlowControl
Feb 2017 - Apr 2020
DeltaV slow control data pulling scripts
Contributions:8 PRs, 37 pushes, 14 branches in 3 years 2 months
slow
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