Robin Thibaut

I am a postdoc researcher at the Lawrence Berkeley National Laboratory in the Watershed Function Scientific Focus Area. 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. Contact me if you want to discuss a project or collaborate on one involving the application of machine learning in the geosciences.

news

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},
}