Robin Thibaut

🌎 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!

🔍 About Me

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.

📚 Highlighted Publications

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

🧰 Open Source Projects & Resources

Project Templates: Python Scientific Project Template
Geothermal Dataset: Wellhead Protection Area Prediction Dataset

📝 Featured Blog Posts

📊 GitHub Stats

Robin's GitHub stats
Top Languages

🤝 Connect & Collaborate

ResearchGate: Robin Thibaut
Stack Overflow: Profile
Twitter: @RobinThibaut
Researcher Profile: Web of Science
ORCID: ORCID

news

Oct 2, 2024	SLC Bound! 🏔️
Aug 2, 2023	Berkeley Bound! 🌁
Mar 28, 2023	PhD defended!
Mar 9, 2023	Public PhD defense. "Machine Learning for Bayesian Experimental Design in the Subsurface"
Jan 16, 2023	Talk by Ty Ferré. "The Limits of Science - How Hydrogeology Is Succeeding and Failing Society and What We Can Do about It"

selected publications

2022

Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework

Robin Thibaut, Nicolas Compaire, Nolwenn Lesparre, and 3 more authors

Water Resources Research, Nov 2022

Bib HTML

@article{Thibaut2022,
  author = {Thibaut, Robin and Compaire, Nicolas and Lesparre, Nolwenn and Ramgraber, Maximilian and Laloy, Eric and Hermans, Thomas},
  doi = {10.1029/2022WR033045},
  issn = {0043-1397},
  issue = {11},
  journal = {Water Resources Research},
  month = nov,
  title = {Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework},
  volume = {58},
  url = {https://onlinelibrary.wiley.com/doi/10.1029/2022WR033045},
  year = {2022},
}