Summary
Xuerui Guo is a geospatial data scientist and PhD researcher with nine years of experience applying remote sensing, GIS and agroecosystem modelling to quantify carbon fluxes in agricultural and forested landscapes. Based at Forschungszentrum Jülich, she couples crop-growth models (AgroC) with UAS-derived retrievals (LAI, Vcmax) and leads multispectral, LiDAR and thermal drone campaigns at the Selhausen ICOS site. Her background spans hands-on deep learning for very-high-resolution imagery, cloud-scale processing with Google Earth Engine, and ESA project work—bridging field collection, Python geoprocessing and model-data fusion. A top-ranked undergraduate and Wageningen-trained master’s graduate, she combines rigorous academic training with practical systems skills (Linux, GitHub, Scrum). Colleagues describe her approach as “first let your hands learn, then let your heart learn,” reflecting a maker’s persistence and curiosity that drives repeatable, field-tested research.
9 years of coding experience
1 year of employment as a software developer
Exchange Student, Urban planning and spatial information, 88.3/100 (rank 2/43), Exchange Student, Urban planning and spatial information, 88.3/100 (rank 2/43) at Feng Chia University
Bachelor of Science - BS, Geo-information Science, 82.14/100 GPA: 3.18(rank 1/43), Bachelor of Science - BS, Geo-information Science, 82.14/100 GPA: 3.18(rank 1/43) at Fujian Normal University
Master's degree - MS, Geo-Information Science, Master's degree - MS, Geo-Information Science at Wageningen University & Research
Chinese, English, Dutch