Peter Cable
Air Quality Program Manager at SLAC National Accelerator Laboratory
United States
Summary
👤
Senior🎓
Top SchoolPeter Cable is an Air Quality Program Manager with 12 years of experience building environmental compliance and sustainability programs across national labs and consumer manufacturing. He led site-wide sustainability data analysis and greenhouse gas and utilities reduction efforts at Procter & Gamble and now directs air quality work at SLAC National Accelerator Laboratory. Trained as a chemical engineer, he pairs process optimization experience—from distillation and chiller systems to automated notification workflows—with regulatory stewardship to deliver measurable emissions and efficiency improvements. He also contributes to open-source testing for scientific Python tooling, improving xarray’s test coverage for complex data formats. Known for turning detailed data into practical operational changes, he excels at bridging technical analysis, compliance, and plant-scale implementation to reduce risk and cost.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at Brigham Young University
Github Skills (8)
xray10
python10
numpy10
test-automation10
xa10
pytest9
pandas6
dask6
Programming languages (13)
Github contributions (5)
pydata/xarray
Aug 2015 - Oct 2015
N-D labeled arrays and datasets in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 3 PRs, 6 comments in 2 months
Contributions summary:Peter's commits primarily focused on enhancing the testing infrastructure of the xarray project. They addressed issues related to data type coercion in NETCDF3 formats by modifying existing tests. Furthermore, they added and modified tests, including switching to `assertDatasetIdentical` and including float64 data types in test datasets, thus improving the robustness and reliability of the test suite. The user's contribution improved the accuracy and coverage of the xarray testing framework.
pythonnetcdfnumpydaskarrays
oceanobservatories/mi-instrument
Sep 2014 - Apr 2017
Contributions:288 commits, 6 PRs, 99 pushes in 2 years 7 months
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