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General Information

Full Name Robin Thibaut, PhD
Email robin.thibaut@icloud.com
Website robinthibaut.github.io
ORCID 0000-0001-7556-2700
Languages English (Fluent), French (Fluent), Dutch (Intermediate), Vietnamese (Intermediate)
Location Salt Lake City, UT, USA

Core Skills

  • Programming & ML
    • Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow)
    • Uncertainty Quantification (Bayesian, BEL)
    • Experimental Design, Physics-informed ML
    • Time-series/Spatial Modeling
  • Geoscience Modeling
    • Finite element thermal simulation
    • MODFLOW, MT3DMS, MODPATH, ModelMuse
    • CRTOMO, RES2DINV, SGEMS
    • Geophysical Data Integration (ERT/IP)
    • Hydrologic/Groundwater Modeling
  • Data & Engineering
    • SQL, Snowflake, Git
    • Data Engineering/ETL
    • Cloud (Google Cloud Platform)
    • Scientific Visualization
    • Linux/Windows/macOS

Experience

  • Oct 2024 - Present
    Computational Geoscientist
    Zanskar Geothermal & Minerals, USA
    • Develop ML workflows for geothermal data analysis and thermal modeling
    • Calibrate 3D thermal models to field data with uncertainty quantification
    • Lead geothermal modeling codebase development and maintenance
  • Aug 2023 - Sep 2024
    Postdoctoral Researcher
    Lawrence Berkeley National Laboratory, USA
    • Integrated geophysical, hydrologic, satellite, and field data into spatiotemporal ML models
    • Built Python pipelines for feature engineering and cross-validation
    • Co-authored model-data integration work on snowmelt/mountain hydrology
  • Mar 2023 - May 2023
    Postdoctoral Researcher
    Ghent University (TURBEAMS), Belgium
    • Predicted turbidity/SPM from multibeam backscatter via deep learning
    • Scaled data handling to process millions of points per session
  • Mar 2019 - Mar 2023
    PhD Fellow
    Ghent University, Belgium
    • Created Bayesian Evidential Learning framework for experimental design
    • Compared well vs. geophysical data for temperature monitoring
    • Published peer-reviewed articles and maintained open-source tools
  • Mar 2018 - Jan 2019
    Project Engineer
    G-tec, Belgium
    • Executed marine geophysical surveys (UXO detection, stratigraphy)
    • Ensured field safety protocol compliance and equipment readiness

Education

  • 2019 - 2023
    Ph.D. in Geological Sciences
    Ghent University, Belgium
    • Laboratory for Applied Geology and Hydrogeology
    • Dissertation on "Machine Learning for Bayesian Experimental Design in the Subsurface"
  • 2014 - 2017
    M.Sc. in Geological Engineering
    University of Liège, Belgium
    • Cum Laude
  • 2010 - 2014
    B.Sc. in Geological Sciences
    Free University of Brussels, Belgium
    • Cum Laude

Selected Public Projects

  • 2023 - ongoing
    REE-MAP (Rare Earth Elements — Multiphysics AI-aided Autonomous Prospecting)
    • Conducted geophysical data collection, processing, inversion, and interpretation
    • AI-aided, multiphysics approach to identify REE–CM "hot zones" in coal tailings
    • GSA Connects 2024 abstract with authorship credit
  • 2023
    TURBEAMS — 3D turbidity by correlating multibeam sonar and in-situ sensor data
    • Built deep learning models linking multibeam water-column backscatter with turbidity/SPM
    • Contributed to Python data flows for 3D turbidity/SPM imaging
  • 2019 - 2023
    Bayesian Evidential Learning (BEL) for Experimental Design
    • Advanced BEL-based experimental design to minimize posterior uncertainty
    • Created SKBEL open-source package
    • Published in Journal of Hydrology and Water Resources Research

Open Source Software

  • 2019 - present
    SKBEL
    • Bayesian Evidential Learning framework built on top of scikit-learn
    • DOI 10.5281/zenodo.6205242
  • 2021
    MGS-public
    • Minimum Gradient Support inversion for resistivity/IP data

Editorial Service

  • Reviewer for Water Resources Research (AGU)
  • Reviewer for Geophysical Research Letters (AGU)
  • Reviewer for Geophysics (SEG)
  • Reviewer for Geophysical Journal International
  • Reviewer for Journal of Hydrology (Elsevier)
  • Reviewer for Hydrogeology Journal (Elsevier)
  • Reviewer for Pure and Applied Geophysics (Springer)

Teaching

  • 2019 - 2023
    Teaching Assistant
    Ghent University
    • Groundwater Modeling course
  • Mar 2022
    Workshop Organizer and Speaker
    Ghent University
    • Python Workshop
  • 2016 - 2019
    Private Tutor
    • Mathematics and Physics for university students

Affiliations

  • International Association of Hydrogeologists (IAH)
  • American Geophysical Union (AGU)
  • International Association for Mathematical Geosciences (IAMG)