Robin Thibaut

As Head of Agentic Systems R&D at Zanskar, I lead research on durable AI agent systems for long-running scientific, technical, and operational work. My earlier work was in computational geoscience, spanning geothermal exploration, hydrologic modeling, geophysical methods, scientific software, field evidence, and uncertainty.

Core Expertise

Agent systems and evaluation · Geothermal exploration · Hydrogeological and geophysical modeling · Bayesian and machine-learning methods for uncertainty · Scientific software and reproducible field data

Selected publications

A selection; the full list is on the publications page.

Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses

Luka Tas, Niels Hartog, Martin Bloemendal, David Simpson, Tanguy Robert, Robin Thibaut, Le Zhang, and Thomas Hermans

Geothermal Energy, Jan 2025

Open access, published 07 January 2025

DOI Bib

@article{tas2025,
  author = {Tas, Luka and Hartog, Niels and Bloemendal, Martin and Simpson, David and Robert, Tanguy and Thibaut, Robin and Zhang, Le and Hermans, Thomas},
  title = {Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses},
  journal = {Geothermal Energy},
  volume = {13},
  pages = {Article number: 2},
  year = {2025},
  month = jan,
  note = {Open access, published 07 January 2025},
  doi = {10.1186/s40517-024-00326-1},
}

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

Robin Thibaut, Nicolas Compaire, Nolwenn Lesparre, Maximilian Ramgraber, Eric Laloy, and Thomas Hermans

Water Resources Research, Nov 2022

DOI 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},
}

A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area

Robin Thibaut, Eric Laloy, and Thomas Hermans

Journal of Hydrology, Dec 2021

DOI Bib HTML

@article{thibaut_new_2021,
  author = {Thibaut, Robin and Laloy, Eric and Hermans, Thomas},
  doi = {10.1016/j.jhydrol.2021.126903},
  issn = {00221694},
  journal = {Journal of Hydrology},
  keywords = {Bayesian Evidential Learning,Experimental design,Groundwater modelling,Machine learning},
  month = dec,
  pages = {126903},
  title = {A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area},
  volume = {603},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0022169421009537},
  year = {2021},
}

All publications →

Open Source Software & Resources

Software and resources from my geoscience research.

SKBEL — Bayesian Evidential Learning framework — Historical
MGS-public — Minimum Gradient Support inversion for resistivity/IP data
pysgems — Use SGeMS (Stanford Geostatistical Modeling Software) within Python — Deprecated
Python Scientific Project Template — Standardized structure for scientific Python projects

Datasets

Public datasets and field-data packages.

Lightning Dock Geothermal Field Data Package — 2026, Geothermal Data Repository
Zanskar’s GeoGym — Benchmark dataset for evaluating geothermal exploration strategies
4D ERT Monitoring Dataset — Temperature monitoring with geophysical data
Wellhead Protection Area Prediction Dataset — Groundwater modeling and protection

Writing

Essays, tutorials, and research notes.

Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework — October 19, 2022
Principal Component Analysis from the ground up with Python — May 03, 2022
A Gentle Introduction to Python with PyCharm — May 01, 2022

All posts →

GitHub Stats

Robin's GitHub stats Top Languages

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news

Oct 02, 2024	SLC Bound! 🏔️
Aug 02, 2023	Berkeley Bound! 🌁
Mar 28, 2023	PhD defended!
Mar 09, 2023	Public PhD defense. "Machine Learning for Bayesian Experimental Design in the Subsurface"