Assistant Professor For Astrophysics And Computational Mathematics, Statistics & Engineering
East Lansing, Michigan, United States
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Summary
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Wolfgang Kerzendorf is an assistant professor in astrophysics and computational mathematics with 15 years of research and software development experience bridging observational theory and reproducible scientific code. He holds a Ph.D. in Astronomy and Astrophysics from ANU and has held research positions at ESO, University of Toronto, NYU and Michigan State, where he combines teaching with active research. A hands-on developer in prominent open-source projects like astropy and the supernova radiative-transfer code TARDIS, he implemented core NDData functionality and improved non-LTE spectral synthesis calculations. His work blends rigorous mathematical modeling, Python engineering, and spectroscopy-driven data analysis to turn complex physics into reliable, shareable tools. Colleagues value him for both deep domain knowledge and the practicality of shipping scientifically critical backend code.
15 years of coding experience
Australian National University
Vordiplom, Physics, Vordiplom, Physics at Heidelberg University
TARDIS - Temperature And Radiative Diffusion In Supernovae
Role in this project:
Back-end Developer
Contributions:54 releases, 490 reviews, 1563 commits in 10 years 6 months
Contributions summary:Wolfgang appears to be a back-end developer, contributing to the codebase of a scientific project, TARDIS, focused on supernova spectral synthesis. The commits indicate involvement in implementing and improving core scientific calculations, including logging for non-LTE species, and modifying the model's settings for better accuracy and performance. The changes show the user's ability to work with a complex codebase, identifying and addressing errors in the core computations.
Contributions:60 commits, 7 PRs, 2 pushes in 3 years 5 months
Contributions summary:Wolfgang primarily contributed to the development of the `astropy/nddata` module. Their work involved the initial implementation of the `NDData` class and related functionalities, including slicing and initialization from other NDData objects. They also made improvements to documentation and ensured that the slicing of the uncertainty data was correctly implemented and updated.
astrologypythonscienceastrophysicsastrodynamics
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Wolfgang Kerzendorf - Assistant Professor For Astrophysics And Computational Mathematics, Statistics & Engineering