Fernando Romero Galvan is a Ph.D. candidate student at Cornell University with a B.A. in Geographic Information Science. His thesis focuses on detecting plant-microbe interactions with machine learning, geographic information science, and imaging spectroscopy – also in cooperation with NASA. Recently, his first chapter on detecting Grapevine Leafroll Virus on grapevines in California vineyards made headlines as it was the first time a pathogen was detected at the early asymptomatic stage in grapevine using remote sensing and highlighted the power of NASA earth observation data products.