Dorian Soergel
Computational Geophysicist
France
Summary
👤
Senior🎓
Top SchoolDorian Soergel is a computational geophysicist with nine years of experience bridging seismic research and large-scale data engineering, currently working on seismic imaging for Fleet Space Technologies and Viridien after postdoctoral roles at Berkeley and ENS Lyon. He specializes in seismic tomography, anisotropy, and efficient handling of big geophysical databases, having mapped upper-mantle structure beneath the South-West Pacific and developed a global Bayesian radial anisotropy model. Trained at École Polytechnique, ETH Zürich and Université Grenoble Alpes (PhD), he combines rigorous mechanics and seismology foundations with data-science skills from the Erdős Institute. Comfortable in both academic and industry settings, he turns complex signal-analysis problems into scalable pipelines and practical models for earth sciences and remote sensing. An active open-source contributor, he has applied back-end development experience to real-world projects like improving classical-music metadata support in the popular beets manager—an indicator of his attention to data structure and metadata quality beyond geophysics. Colocated in France, he brings a global research perspective and a knack for translating high-dimensional geophysical datasets into actionable insights.
9 years of coding experience
Erdős Institute Data Science Boot-Camp, Fall 2024Doctorat, Géologie / sciences de la Terre, général, Doctorat, Géologie / sciences de la Terre, général at Université Grenoble AlpesClasse préparatoire aux grandes écoles, voie MP, Classe préparatoire aux grandes écoles, voie MP at Lycée privé Sainte-GenevièveDiplôme d'ingénieur, Mécanique des solides, Diplôme d'ingénieur, Mécanique des solides at École PolytechniqueBaccalauréat, Baccalauréat at Lycée Franco-Allemand de Fribourg, AllemagneMaster's degree, Géophysique et séismologie, Master's degree, Géophysique et séismologie at ETH Zürich
English, French, German
Github Skills (10)
data-handling10
musicxml10
music-manager10
metadata10
python10
meta10
sql9
media-library9
cli8
music8
Programming languages (4)
Github contributions (5)
beetbox/beets
Apr 2017 - May 2021
music library manager and MusicBrainz tagger
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 reviews, 153 commits, 19 PRs in 4 years 1 month
Contributions summary:Dorian contributed significantly to the beets music library manager, primarily by adding support for the `composer_sort` tag and related image structures. This involved modifying core modules like `mediafile.py`, `autotag/hooks.py`, and `library.py` to incorporate the new tag and its functionality. Furthermore, the user also added support for work, work-disambig and mb_workid tags in various modules to improve the handling of classical music metadata.
clipythonmusicbrainztaggermusic
dosoe/beets
Apr 2017 - Jul 2021
music library manager and MusicBrainz tagger
Contributions:404 pushes, 51 branches in 4 years 2 months
pythonvalinemusicbrainzfindertagger
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