Nathan Korinek
ORISE Climate Data Fellowship Participant
Lafayette, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Korinek is a geospatial and environmental data scientist with eight years of experience building scalable, open-source workflows for climate and ecosystem science. Currently an ORISE Climate Data Fellow at USGS and a graduate researcher at CU Boulder, he specializes in large-scale remote sensing pipelines using Xarray, Dask, and Zarr, plus reproducible analysis and visualization that communicate uncertainty to diverse audiences. He has production experience developing widely used Earth Lab Python packages and contributed to GeoPandas, helping make geospatial tools more accessible for education and research. His work spans academia, government, and nonprofits, producing published analyses, machine learning models for landscape change, and automated testing that reduced manual QA time. Beyond coding, he designs and runs field campaigns with UAS multispectral imaging and pairs those observations with cloud-native processing to close the loop between data collection and insight. Based in Lafayette, Colorado, he’s passionate about mission-driven projects in climate, ecosystems, and public-good technology — and bakes excellent sourdough when not at his terminal.
8 years of coding experience
4 years of employment as a software developer
Master of Arts - MA, Geography, 3.964, Master of Arts - MA, Geography, 3.964 at University of Colorado Boulder
Github Skills (7)
geopandas10
rasterio10
python10
spatial-data10
data-analysis10
documentation8
testing7
Programming languages (6)
Github contributions (5)
earthlab/earthpy
Oct 2018 - Jul 2022
A package built to support working with spatial data using open source python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 4 reviews, 227 commits in 3 years 9 months
Contributions summary:Nathan contributed to the development of the `earthpy` package, primarily by adding and modifying functions related to data processing and input/output operations. Their work involved enhancing the functionality of utility and I/O modules. The user also incorporated changes from other contributors and made modifications to the documentation and testing of the code.
pythonspatial-datarastervector
nkorinek/eds-lessons-website
Apr 2020 - Dec 2022
this is where the final rendered markdown files and code triggered images will live
Contributions:2 PRs, 2 pushes, 2 branches in 2 years 8 months
markdown
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