Dany Lauzon

Dany Lauzon is an Assistant Professor at the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. He is affiliated with the Institute for Research in Mining and the Environment (IRME) and the Geothermal and Hydrogeology Research Group. His research focuses on stochastic subsurface modeling using geostatistical and machine learning methods, inverse problems in hydrogeology, and uncertainty quantification in geological models.

• Education: B.Eng. (Polytechnique Montréal), Ph.D. (Polytechnique Montréal)
• Postdoctoral training: Karst Systems Modeling (University of Neuchâtel), Mineral Prospectivity (INRS)

His work develops geostatistical algorithms and deep learning surrogates for groundwater flow and subsurface risk mitigation. Publications highlight spectral methods, graph neural networks, and hybrid modeling approaches for environmental and geological applications.

• Current supervision: Ph.D. student Innocent Boris Tagne Nkounga
• Master's student Olivier Brisebois