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Gabriel Fabien-Ouellet

Research interests and affiliations

Research interests
  • Seismic inversion
  • Machine learning for geophysical data processing
  • Hydrogeophysics
  • Elastic properties of soil and rocks
  • High performance computing
Expertise type(s) (NSERC subjects)
  • 4304 Applied geophysics
  • 4307 Environmental geophysics
  • 2953 Wave propagation
  • 2960 Mathematical modelling


Recent publications
Journal article
Fabien-Ouellet, G. (2020). Seismic modeling and inversion using half-precision floating-point numbers. Geophysics, 85(3), F65-F76. Retrieved from
Journal article
Fabien-Ouellet, G. & Sarkar, R. (2020). Seismic velocity estimation: A deep recurrent neural-network approach. Geophysics, 85(1), U21-U29. Retrieved from
Conference paper
Biondi, B.L., Graham Clapp, R., Fabien-Ouellet, G., Huot, F. & Yuan, S. (2018). Impact of machine-learning algorithms and hardware on computational seismology [Abstract]. Presented at the American Geophysical Union, Fall Meeting 2018, Washington, D.C. Retrieved from
Conference paper
Fabien-Ouellet, G., Gloaguen, E. & Giroux, B. (2018). Seismic modeling with half precision floating point numbers. Paper presented at the 80th EAGE Conference and Exhibition 2018, Copenhagen, Denmark.


Cours enseignés

  • GLQ3205 : Géophysique appliquée II


  • Stage post-doctoral en Géophysique - Université de Stanford
  • Doctorat en sciences de la Terre - INRS
  • Maîtrise en sciences de la Terre - Université Laval
  • Baccalauréat en physique - Université Laval
  • Baccalauréat en génie physique - Université Laval

News about Gabriel Fabien-Ouellet

NEWS | September 4, 2020
Sustainable development in the mining sector: the Government of Québec helps fund six projects headed by Polytechnique professors | Read
NEWS | September 2, 2020
Professor Gabriel Fabien-Ouellet: "seismic" new project supported by the Canada Foundation for Innovation and the Government of Québec | Read