Summary
Gabriel Garcia is a Senior Remote Sensing Scientist and Computer Engineer with a PhD in Water Resources Engineering and 11 years of experience applying satellite data, machine learning, and data fusion to solve water and environmental challenges. He has moved research into operational products across evapotranspiration, soil moisture, and groundwater monitoring, most recently at Waterplan (YC S21) and previously building quality-assured multispectral delivery and AI prototypes at Satellogic. Comfortable across academic and industry settings, he combines deep domain knowledge in radar/passive microwave fusion with practical Python-based pipelines that scale from Antarctic field campaigns to global water resource monitoring. Gabriel’s work is marked by interdisciplinary collaboration and a focus on turning complex geophysical relationships into actionable tools for agriculture, climate resilience, and water security.
11 years of coding experience
4 years of employment as a software developer
Ingenieria en Informatica, Informatics, Ingenieria en Informatica, Informatics at Universidad Nacional del Litoral - Facultad de Ingeniería y ciencias hídricas (FICH)
Post-Doctoral Fellow., Remote sensing - Hydrology, (7 months), Post-Doctoral Fellow., Remote sensing - Hydrology, (7 months) at IFAC-CNR Institute of Applied Physics
Doctorado en Ingeniería, Mención Recursos Hídricos, Doctorado en Ingeniería, Mención Recursos Hídricos at Universidad Nacional del Litoral - Facultad de Ingeniería y ciencias hídricas (FICH). Centro de estudios hidro-ambientales (CENEHA)
English, Spanish