Peter Sorensen
Senior Scientist at Berkeley Lab
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPeter Sorensen is a Senior Scientist with a decade of experience building and operating cutting-edge particle detectors and mining large datasets for the rarest signals, from dark matter searches to nuclear safeguards. Based in the San Francisco Bay Area, he blends hands-on instrumentation work—particularly scintillation-based detectors—with advanced data science and AI techniques to spot subtle anomalies. At Berkeley Lab he leads technology development and subsystem efforts on the world-leading LZ dark matter experiment, and previously prototyped detectors and ran early science at Lawrence Livermore. He also brings practical software and release engineering experience to scientific computing, contributing build and automation fixes to the conda-forge ecosystem. Comfortable moving between lab benches, large-scale data analysis, and production workflows, he thrives on the “rush of discovery” that comes from finding the unexpected. His background—PhD in particle/astrophysics—gives him a rare combination of experimental rigor and computational fluency.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Particle/Astro Physics, Doctor of Philosophy - PhD, Particle/Astro Physics at Brown University
Github Skills (10)
sh10
conda-forge10
bash10
script10
shell10
scripting10
build-automation10
r10
githubaction-workflow7
github-ci7
Programming languages (4)
Github contributions (5)
conda-forge/staged-recipes
Dec 2024 - Dec 2024
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:1 PR, 6 comments in 3 days
Contributions summary:Peter primarily contributed to the build process of R packages within the conda-forge ecosystem. Their work involved modifying build scripts (`build.sh` and `bld.bat`) to incorporate specific configurations, address build issues, and ensure compatibility with the conda-forge environment. This includes disabling autobrew and adjusting package installation commands. The user also merged branches, indicating integration efforts within the repository.
placeconda-forgerecipescondasubmit
psoerensen/qgg
Feb 2016 - Aug 2021
Statistical tools for Quantitative Genetic Analyses
Contributions:1006 commits, 1623 pushes, 4 branches in 5 years 6 months
analysesgeneticstatisticalmeta-analysisquantitative
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.