Angeline Burrell
Research Physicist at U.S. Naval Research Laboratory
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAngeline Burrell is a research physicist and ionospheric scientist with 12 years of experience combining observational campaigns, data analysis, and software development to advance understanding of the high-latitude ionosphere. Based at the U.S. Naval Research Laboratory, she specializes in using physically relevant boundaries as coordinates and integrating ground- and space-based datasets to tease out solar and neutral-atmosphere influences on ionospheric dynamics. Her work spans instrument calibration and propagation corrections for HF radar (SuperDARN), model-data fusion with GITM, and creation of widely used magnetic coordinate Python packages and tools like OCBpy. An active open-source contributor, she has improved circular statistics in the flagship SciPy library to make analyses more robust to NaNs, demonstrating a rare blend of domain science and reproducible software engineering. Colleagues rely on her for mentoring, community leadership, and translating complex observational challenges into practical analytical solutions.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Space Physics, Doctor of Philosophy - PhD, Space Physics at The University of Texas at DallasBachelor of Arts - BA, Physics and Astronomy, Bachelor of Arts - BA, Physics and Astronomy at Smith CollegeAssociate of Arts and Sciences - AAS, Associate of Arts and Sciences - AAS at Bellevue CollegeMaster of Science - MS, Astronomy, Master of Science - MS, Astronomy at Dartmouth College
Github Skills (9)
statistics10
algorithms10
scipy10
python10
scientific-computing10
numpy10
pytest9
testing9
data-analysis8
Programming languages (10)
Github contributions (5)
scipy/scipy
Aug 2019 - Sep 2019
SciPy library main repository
Role in this project:
Data Scientist
Data ScientistContributions:18 commits, 1 PR, 6 comments in 21 days
Contributions summary:Angeline focused on enhancing the `scipy/scipy` repository's statistical functions. Their contributions centered on improving circular statistics calculations, specifically addressing NaN handling within functions like `circmean`, `circvar`, and `circstd`. They implemented the `nan_policy` keyword argument to control NaN behavior, added unit tests, and fixed bugs related to axis parameter usage, thereby improving the reliability and functionality of the circular statistics code.
scipypythonscientific-computing
aburrell/apexpy
Apr 2019 - Jan 2023
A Python wrapper for Apex coordinates
Contributions:5 releases, 83 reviews, 667 commits in 3 years 9 months
python
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