Co-Founder and CEO of Geolearn, Martin is a center piece of AI driven projects. He makes sure Geolearn delivers its promise of innovation within a company culture we are all proud of.
After completing a PhD in Geophysics at INRS-ETE, Martin worked at IFPEN in Paris on multivariate algorithms for seismic attributes integration in petroleum reservoir models.

Co-Founder of Geolearn, Lorenzo is the designer of the team. His passion is driven by the aesthetics of data visualization, at Geolearn he ensures that every data have a story to tell.
Lorenzo holds a PhD and a MS in Geophysics from INRS-ETE and a MS in geological engineering from University of Lausanne.

CAt Geolearn, Jérome oversees AI operations and data interpretation. He develops and enforces Geolearn's algorithmic best practices and validates code workflows.
His interest in physics and pedagogy fuels his appreciation of intelligible methodologies and vulgarizations, both of which are critical in data science.

With 20 years of E&P experience, Jean-Sébastien is in charge of product development at Geolearn.
Based on its field background, Jean-Sébastien directs product development activities to Geolearn's various customers, from design through to production

At Geolearn, Matthieu develops visualization and interpretation tools for geological data. He cares about, among other things, the good transformation of geological information into digital data. Matthieu holds a professional MSc in Mineral Exploration from UQAC and a Geological Engineer diploma from Institut Polytechnique LaSalle Beauvais.