Matthew Feickert
Research Scientist at UW–Madison Data Science Institute
Lafayette, Colorado, United States
Summary
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Rockstar🎓
Top SchoolMatthew Feickert is a research scientist and data physicist with 11 years of experience applying Python and C++ to experimental high energy physics at UW–Madison and within the ATLAS collaboration at CERN. He develops and validates analysis and software tools for searches beyond the Standard Model, combining hands-on detector and trigger knowledge with advanced statistical data analysis. His work spans research roles and IRIS-HEP software efforts, and he contributes to widely used open-source projects—improving TensorFlow Probability edge cases and sharpening documentation for Matplotlib and Python packaging. Comfortable in build-and-release environments, he has modernized packaging and conda-forge recipes for particle-physics software and streamlined XRootD Python bindings. Based in Lafayette, Colorado, he blends rigorous academic research with practical engineering to make complex LHC workflows more reproducible and robust.
11 years of coding experience
11 years of employment as a software developer
University College CorkDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Southern Methodist UniversityUniversity of Illinois Urbana-ChampaignMaster of Arts (M.A.), Physics, Master of Arts (M.A.), Physics at University of Virginia
German
Stackoverflow
865reputation
30kreached
20answers
15questions
Github Skills (49)
data-visualizations10
conda-forge10
benchmark10
restructuredtext10
pytest10
package-management10
python10
sphinx10
matplotlib10
testing10
packaging10
statistics10
machine-learning10
bash10
benchmarking10
Programming languages (27)
Github contributions (5)
matplotlib/matplotlib
Mar 2022 - Oct 2022
matplotlib: plotting with Python
Role in this project:
Technical Writer
Technical WriterContributions:57 reviews, 28 commits, 23 PRs in 6 months
Contributions summary:Matthew's commits primarily involve documentation improvements within the Matplotlib repository. They added and corrected installation instructions for nightly builds, including command-line flags. Further commits addressed documentation issues, including fixing typos, improving code examples, and correcting file names, and updating documentation related to pre-commit hooks. The user's contributions enhanced the clarity and accuracy of the project's documentation.
matplotlibpythondata-visualizationdata-scienceqt
pypa/packaging.python.org
Mar 2021 - Apr 2021
Python Packaging User Guide
Role in this project:Technical Writer
Technical WriterContributions:3 reviews, 5 commits, 8 PRs in 1 month
Contributions summary:Matthew primarily contributed to the documentation of the Python Packaging User Guide. They made numerous edits related to installing packages, clarifying the use of `package_dir` and `packages`, and noting the deprecation of `easy_install`. These changes included revising phrasing for clarity, correcting syntax, and adding links to relevant resources. Furthermore, the user updated installation instructions, including adding examples using the correct syntax for installing from remote VCS.
python-packaging
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