Summary
Lorenzo Perozzi is a Geographic Information Systems Manager and spatial data engineer with 11 years of experience applying geostatistics, machine learning and web GIS to energy and subsurface problems across academia and industry. Based in Vaud, Switzerland, he designs GIS data architectures and develops tailored QGIS, web and LIDS applications to support strategic planning for electric, district heating and renewable networks. His background includes PhD-level research in geophysics and uncertainty quantification, postdoctoral work building decision-support tools for geothermal projects, and hands-on data science products such as automated drill-core analysis using deep learning. Lorenzo moves seamlessly between research and production: he has led DFN geothermal modeling, created web tools for Molasse depth interpolation, and implemented spatial experiments that improve energy distribution decisions. Colleagues rely on him for rigorous spatial modeling combined with practical deployment skills, and he often bridges domain-specific science with scalable software delivery.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Geophysics, Seismology and Geostatistics, Doctor of Philosophy (PhD), Geophysics, Seismology and Geostatistics at Université du Québec - Institut national de la recherche scientifique
Master of Science (MSc), Engineer geologist, Master of Science (MSc), Engineer geologist at University of Lausanne - UNIL
Data Science in Python, Data Science, Data Science in Python, Data Science at Thinkful
English, French, Italian, German