Carlomagno Soto Castro is a geospatial data scientist and forest engineer with more than 20 years of experience applying remote sensing, machine learning and spatiotemporal analysis to tropical agriculture and natural capital in Latin America. He holds an M.Sc. in Geography from McGill University, where he worked on hyperspectral remote sensing of boreal peatland ecosystems, and a Bachelor in Forest Sciences Engineering from Universidad Nacional de Costa Rica. At EARTH University he leads applied research on precision agriculture, crop disease detection, forage and biomass estimation, and land use change, and has supervised undergraduate research projects since 2016. He lectures on Remote Sensing Image Analysis in the joint UNA–UCR professional master's programme in GIS and Remote Sensing, and co-founded lunatecH, which develops geospatial applications and agroclimate analytics for agribusiness and public-sector clients. His earlier work includes airborne hyperspectral campaigns at CeNAT-PRIAS and management of the GIS laboratory at La Selva Biological Station (Organization for Tropical Studies).