Benoît Bovy
Software Engineer at Georode
Liège, Liège, Belgium
Summary
🤩
Rockstar🎓
Top SchoolBenoît Bovy is a software engineer and research scientist with 11 years of experience at the intersection of Earth sciences, data science and GIS, grounded in a PhD in geomorphology. He brings strong expertise in scientific software design and development, demonstrated by substantive contributions to the widely used xarray library—improving internal APIs, data alignment, and metadata preservation for multidimensional labeled arrays. Trained in geography and applied geomatics, he bridges domain knowledge and engineering to build robust tools for geospatial and numerical modelling workflows. Based in Liège, Belgium, he is an active open-source collaborator within the Scientific Python ecosystem and, less obviously, a published musician who channels creative thinking into his technical work.
11 years of coding experience
Bachelor of Science (B.S.), Geography, Bachelor of Science (B.S.), Geography at Université de LiègePH.D., Geosciences, Geomorphology, PH.D., Geosciences, Geomorphology at Université de Liège / Université de Grenoble
Github Skills (14)
data-structures10
pandas10
xray10
indexing10
python10
data-structure10
numpy10
xa10
api-design9
testing9
data-analysis8
documentation8
dask7
netcdf7
Programming languages (12)
Github contributions (5)
pydata/xarray
Jun 2017 - Jan 2023
N-D labeled arrays and datasets in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:156 reviews, 32 commits, 92 PRs in 5 years 8 months
Contributions summary:Benoît primarily focused on enhancing the xarray library's internal functions. Their contributions included modifying the public API by incorporating `as_variable` and resolving set_index() behavior issues in response to pandas updates. The user also added unit tests, updated documentation, and refactored the codebase to include index and coordinate variables for more robust data selection functionality. Further improvements focused on merging and enhancing features such as concatenation, reindexing, and data alignment within xarray, all while ensuring the metadata preservation of critical dataset features.
pythonnetcdfnumpydaskarrays
fastscape-lem/fastscapelib-fortran
Jan 2019 - Dec 2022
A Fortran (+ Python bindings) library of efficient algorithms for landscape evolution modeling
Contributions:6 releases, 1 review, 120 commits in 3 years 10 months
evolutionpythonpython-bindingslandscape-evolutionfortran
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