Jordan Graesser
Staff Data Scientist
Australia
Summary
👤
Senior🎓
Top SchoolJordan Graesser is a Staff Data Scientist based in Australia with nine years of expertise applying remote sensing and land use/land cover change science to agricultural and forest systems. His career spans academia and industry across the US, Australia and South America, moving from postdoctoral and research fellow roles into senior and staff data science positions at Indigo. Jordan combines deep domain knowledge in satellite-based monitoring with practical experience deploying data-driven solutions for real-world environmental challenges. He holds a PhD in Geography and a long track record in geographic information science dating back to roles at the US Census Bureau and Oak Ridge, which gives him uncommon fluency in both research methods and operational geospatial pipelines. A subtle strength is his ability to translate complex Earth-observation analyses into product-focused workflows that support decision-making in agriculture and natural resource management.
9 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Geography, Master of Science (M.S.) Geography at South Dakota State UniversityGeography, Geography at Universidad Nacional de TucumánGeography, Geography at The Manchester Metropolitan UniversityDoctor of Philosophy (Ph.D.) Geography, Doctor of Philosophy (Ph.D.) Geography at McGill UniversityGeography, Geography at The University of British Columbia
Github Skills (21)
python10
raster10
pytorch-lightning10
geospatial10
agriculture10
rasterio10
dask10
geography10
satellite10
pytorch9
image-segmentation9
deep-learning9
spatial8
imagery8
tessellation8
Programming languages (3)
Github contributions (5)
jgrss/zones
Jun 2019 - Sep 2023
Contributions:1 release, 83 pushes, 1 branch in 4 years 3 months
jgrss/mpglue
Jan 2017 - May 2018
A Python library for image and vector processing
Contributions:1 release, 226 commits, 213 pushes in 1 year 4 months
python
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