robinthibaut
Computation Geoscientist @ Zanskar Geothermal & Minerals. Machine Learning. Experimental Design. Earth Sciences.
Funding Links: https://github.com/sponsors/robinthibaut
- Name: Robin Thibaut
- Location: Salt Lake City
- Company: Zanskar Geothermal & Minerals
- Kind: user
- Followers: 125
- Following: 408
- Total stars: 110
- Repositories count: 86
- Created at: 2022-11-14T11:03:54.106Z
- Updated at: 2025-06-06T08:56:04.995Z
- Last synced at: 2025-06-06T08:56:04.995Z
GitHub Sponsors Profile
About
I am a PhD Fellow at Ghent University, Belgium. My research focuses on developing a new framework for experimental design in earth sciences under a Bayesian approach. I have experience in marine geophysical surveys, near-surface geophysics and coding. My research interests include Bayesian statistics, geostatistics, image processing, data science, and machine learning. I am interested in applying these methods to a variety of problems in environmental sciences and earth sciences.
Latest papers
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area
https://doi.org/10.1016/j.jhydrol.2021.126903
Official repository: skbel
A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data.
https://doi.org/10.1016/j.jappgeo.2021.104286
Official repository: MGS-public
Research
ResearchGate
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- Current Sponsors: 0
- Past Sponsors: 0
- Total Sponsors: 0
- Minimum Sponsorship: $1.00
Featured Works
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Language: Python - Stars: 62277scikit-fmm/scikit-fmm
scikit-fmm is a Python extension module which implements the fast marching method.
Language: Python - Stars: 294robinthibaut/pysgems
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
Language: Python - Stars: 57robinthibaut/skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
Language: Python - Stars: 24