Håkon Ånes
Scientist at Xnovo Technology
Køge, Region Zealand, Denmark
Summary
👤
Senior🎓
Top SchoolHåkon Ånes is a scientist and software-minded materials researcher with 11 years of experience, currently at Xnovo Technology in Denmark and completing a PhD in materials science and engineering at NTNU. He combines hands-on electron microscopy expertise—especially electron backscatter diffraction—with a strong penchant for developer tooling, maintaining and contributing to open-source projects like the widely used hyperspy library. His work blends experimental characterization, analysis software development, and documentation improvements that make complex microscopy workflows more robust and user-friendly. Originally from Bergen, he brings practical teaching and lab experience, plus a disciplined background from service as a corporal in the Norwegian Armed Forces, which informs his collaborative and methodical approach to research engineering.
10 years of coding experience
Matriculation, Matriculation at Fana GymnasNorwegian University of Science and Technology
English, Norwegian, French
Github Skills (11)
python10
documentation10
data-analysis10
multidimensional9
data-visualisation9
debug9
data-visualization9
data-visualizations9
testing8
pytest8
science8
Programming languages (9)
Github contributions (5)
hyperspy/hyperspy
Dec 2018 - May 2022
Multidimensional data analysis
Role in this project:
Backend Developer
Backend DeveloperContributions:27 reviews, 15 commits, 8 PRs in 3 years 6 months
Contributions summary:Håkon primarily focused on improving the `hyperspy` library's functionality and documentation. Their work involved fixing a bug related to the axis argument in the `sum()` function, particularly within the lazy decomposition module. They also updated the project's dependencies and documentation, adding changelog entries and improving formatting and phrasing within the user guide and developer documentation, with the majority of changes aimed at enhancing the user experience. The user addressed specific issues within the Bruker IO plugin, making the reader more robust, and added a progress bar to the BaseSignal.map() function to improve user feedback.
multidimensionalmulti-dimensionaldata-analysispythondata-science
hakonanes/diffsims
Feb 2020 - Oct 2024
Contributions:64 pushes, 55 branches in 4 years 8 months
python-librarypythoncontact-ussimulationssimulation
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