Guillaume Rongier

Postdoctoral Fellow in Simulation and Geostatistics

I am a numerical geologist interested in better characterizing geological structures and processes based on partial information.

I acquired my core background during my master and doctoral projects, which focused on developing and implementing new stochastic simulation methods to model the subsurface for hydrogeological and petroleum applications. Since then, I have been expanding my background to new areas, in particular to using artificial intelligence and machine learning techniques to support decision making in geosciences.

Within Deep Earth Imaging, my research is part of the system conceptualisation research program.


Technical skills

  • Diverse background mixing geosciences, numerical modeling, and programming
  • Experience of developing new methods to gain insight on geological structures
  • Strong modeling experience of the subsurface
  • Programming abilities in C++, Python, R, and Matlab


Professional experience

October 2018 – Present
Postdoctoral fellow: CSIRO Deep Earth Imaging Future Science Platform

October 2016 – September 2018
Postdoctoral associate: Massachusetts Institute of Technology



PhD (Geosciences) University of Lorraine/University of Neuchâtel 2016

MSc (Geosciences) University of Lorraine 2012


Selected publications

Rongier, G., Rude, C., Herring, T., & Pankratius, V. (2019). Generative Modeling of InSAR Interferograms. Earth and Space Science, 6(12), 2671-2683.

Rongier, G., & Pankratius, V. (2018). Computer‐Aided Exploration of the Martian Geology. Earth and Space Science, 5(8), 393-407.

Rongier, G., Collon, P., & Renard, P. (2017). Stochastic simulation of channelized sedimentary bodies using a constrained L-system. Computers & Geosciences, 105, 158-168.

Rongier, G., Collon, P., & Renard, P. (2017). A geostatistical approach to the simulation of stacked channels. Marine and Petroleum Geology, 82, 318-335.

Rongier, G., Collon, P., Renard, P., Straubhaar, J., & Sausse, J. (2016). Comparing connected structures in ensemble of random fields. Advances in Water Resources, 96, 145-169.

Rongier, G., & Collon, P. (2014). Conduits Karstiques en 3D : une méthode de simulation stochastique. Karstologia, 63, 58-60

Rongier, G., Collon, P., & Filipponi, M. (2014). Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge. Geomorphology, 217, 152-164.