Postdoctoral Researcher at Center for Astrophysics | Harvard & Smithsonian
Cambridge, Massachusetts, United States
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Axel Donath is a postdoctoral researcher at the Center for Astrophysics with 13 years of experience applying statistical methods and machine learning to low-count X-ray and gamma-ray astronomy. He leads development of the open-source Gammapy package, is a sub-package maintainer for Astropy, and has made substantive contributions to widely used projects like astropy/photutils and astropy/astropy. His research blends instrument-combining analysis, Poisson-noise deconvolution (including a Python wrapper for LIRA), and reproducible scientific software—work he has presented at SciPy and taught in hands-on tutorials. Based in Cambridge, MA, Axel pairs rigorous academic training (PhD, Heidelberg) with practical engineering, serving as an editor for the Astronomy & Astrophysics track at JOSS and as an active member of the CHASC astro-statistics collaboration. He brings a rare combination of domain expertise, open-source stewardship, and attention to numerical detail that improves both methods and community tools.
13 years of coding experience
Doctor of Philosophy - PhD, Astronomy and Astrophysics, 1.0, Doctor of Philosophy - PhD, Astronomy and Astrophysics, 1.0 at Heidelberg University
Contributions:1596 reviews, 5597 commits, 1850 PRs in 9 years 9 months
Contributions summary:Axel contributed to adapting flux point tests, improving plotting capabilities, and modifying various dataset-related components. Their work included changes to the handling of different formats and improvements to the accuracy of tests by adjusting precision values. The user's commits also demonstrated a focus on API improvements, with edits to the class structure, code style, and refactoring for better consistency across the codebase.
Contributions:3 reviews, 156 commits, 2 PRs in 3 years 7 months
Contributions summary:Axel primarily contributed to the `astropy/astropy` repository by adding examples to table methods and developing new mathematical models, including Gaussian, Sine, and Box models. The user's commits reveal work on model derivatives and related tests, including the implementation of both 1D and 2D versions of models. They also fixed issues related to the normalization and use of various kernel models for convolution.
astrologypythonscienceastrophysicsastrodynamics
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Axel Donath - Postdoctoral Researcher at Center for Astrophysics | Harvard & Smithsonian