Matthew Wood is a research engineer with 12 years of experience blending scientific rigor and production software engineering, currently building ML-driven systems at Netflix. Trained as a physicist (BA University of Chicago) and astronomer (PhD UCLA), he translates complex data-science methods into robust code using Python, C++, NumPy and Matplotlib. His open-source contributions to the prominent gammapy project demonstrate domain expertise in gamma‑ray astronomy and HEALPix-based sky mapping, bridging research tools with reusable package integrations. Prior roles at Facebook and long research appointments highlight his ability to ship scalable, production-quality solutions that originated in academic research. Based in California, he is comfortable navigating both exploratory research and engineering delivery in large teams.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA), Physics, Bachelor of Arts (BA), Physics at The University of Chicago
Doctor of Philosophy (PhD), Astronomy, Doctor of Philosophy (PhD), Astronomy at University of California, Los Angeles
Contributions:245 commits, 27 PRs, 8 pushes in 1 year 7 months
Contributions summary:Matthew's commits focus on integrating modules related to the fermipy sky map functionalities into the gammapy package. The commits involved implementing and modifying a HEALPix-related class for mapping and projection. This indicates a focus on implementing components for handling and processing astronomical data, utilizing Python, and the NumPy library for mathematical operations within a scientific context.
Contributions:92 pushes, 1 branch, 3 tags in 2 years 1 month
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