Thibaut Astic is a Senior Computational Scientist in geophysics with over a decade of experience applying Python-driven numerical modelling, inverse methods and machine learning to mineral exploration and multi-physics data integration. He holds a PhD from UBC and has translated academic research into industry impact through core contributions to two open-source geophysics packages used by 500+ experts, an interactive online textbook, and commercial consortium software. His work spans advanced constrained inversions, joint multi-dataset frameworks guided by petrophysics and geology, and next-generation ML algorithms for discovery-oriented geosciences. A proven presenter and published researcher, he pairs field experience in airborne and ground surveys with production-grade code and reproducible research repositories. Fluent in English and French, he thrives in fast-paced, interdisciplinary teams and is known for turning complex geophysical problems into practical, open-source solutions.
10 years of coding experience
7 years of employment as a software developer
Engineer, Geo-engineering, Engineer, Geo-engineering at Ecole Nationale Supérieure des Mines de Nancy
Master in Applied Sciences, Applied Geophysics, Master in Applied Sciences, Applied Geophysics at Université de Montréal - Ecole polytechnique de Montréal
Doctor of Philosophy - PhD, Geophysics, Doctor of Philosophy - PhD, Geophysics at The University of British Columbia
Reproducible examples for published PGI inversions
Contributions:4 releases, 70 commits, 8 PRs in 2 years 7 months
factorizationreproduciblepgiabaqustopic-modeling
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.