Rose Rustowicz is a Senior Geospatial Data Scientist with 11 years of experience applying machine learning and deep learning to satellite imagery for sustainability and agriculture. She has led production-ready products for historical deforestation detection and developed multi-sensor deep learning solutions for crop and coffee classification using optical, SAR, and InSAR data. At Descartes Labs she combined hands-on model development with user-facing education—creating tutorials, workshops, and platform demos that enabled researchers and practitioners to adopt geospatial DL workflows. Her background spans academia and industry, including Stanford research on smallholder crop classification and early SAR segmentation work at Planet, giving her both theoretical and practical depth. Based in Longmont, Colorado, Rose is motivated by closing knowledge gaps about the Earth and translating remote sensing advances into measurable environmental impact. An understated strength is her track record mentoring students and translating research prototypes into operational tools used for global sustainability monitoring.
11 years of coding experience
5 years of employment as a software developer
University of Otago
Bachelor of Science (B.S.) Imaging Science, Bachelor of Science (B.S.) Imaging Science at Rochester Institute of Technology
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at Stanford University
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