🌎 Computational Geoscientist
🔍 Passionate about applying Machine Learning to Earth Sciences
📊 Data enthusiast driven by Python programming and AI innovations in geospatial data
Let’s connect if you’re exploring AI-driven solutions in geoscience or seeking collaboration on innovative projects!
I am a Computational Geoscientist exploring the intersection of Machine Learning and Earth Sciences. With a background in data science and experimental design, my focus is on extracting actionable insights from complex geospatial data. My work involves developing models that not only enhance our understanding of Earth's processes but also aid in sustainable resource management and environmental protection.
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Comparing Well and Geophysical Data for Temperature Monitoring
Published in Water Resources Research | DOI: 10.1029/2022WR033045 -
A Framework for Bayesian Experimental Design in Environmental Geosciences
Published in Journal of Hydrology | DOI: 10.1016/j.jhydrol.2021.126903 | Repo: skbel -
Minimum Gradient Support Inversion for Resistivity/IP Data
Published in Journal of Applied Geophysics | DOI: 10.1016/j.jappgeo.2021.104286 | Repo: MGS-public
- Project Templates: Python Scientific Project Template
- Geothermal Dataset: Wellhead Protection Area Prediction Dataset
- The Importance of Python for Geoscientists
- Why the Rainbow Color Map is Problematic
- A Gentle Introduction to Python with PyCharm
- ResearchGate: Robin Thibaut
- Stack Overflow: Profile
- Twitter: @RobinThibaut
- Researcher Profile: Web of Science | ORCID
