Nell Byler
Lead Geospatial AI Engineer
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNell Byler is a Lead Geospatial AI Engineer with 12 years of experience applying deep learning and computer vision to remote sensing, multispectral and hyperspectral satellite imagery. Based in Seattle, she builds production-ready AI/ML solutions to extract actionable geospatial insights, currently leading efforts at Neural Earth after directing multi-intelligence data science programs at PNNL. Her background blends rigorous astrophysics research—earning a PhD and producing radiative transfer simulations for JWST—with practical high-performance computing and instrument metrology work. She has led cross-functional teams, briefed government sponsors, and supervised research projects, demonstrating both technical depth and program leadership. Nell also develops open-source tools and reproducible pipelines from her academic work, reflecting a commitment to transparent, reusable science-to-production workflows. Colleagues describe her strength in translating complex physical models into scalable machine learning systems for national security and environmental applications.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at University of WashingtonBachelor of Arts - BA Physics, Bachelor of Arts - BA Physics at Wellesley College
Github Skills (12)
python-bindings10
stellar9
synthesis9
fortran8
python8
deep-learning7
java3
algorithm1
windows1
windows-application1
statistics1
big-data1
Programming languages (5)
Github contributions (5)
nell-byler/cloudyfsps
Dec 2015 - Feb 2022
Python interface between FSPS and Cloudy.
Contributions:1 release, 187 commits, 177 pushes in 6 years 3 months
python
nell-byler/dice_detection
Dec 2019 - Feb 2022
Project to detect and classify six-sided dice from images using deep learning.
Contributions:33 commits, 31 pushes, 1 branch in 2 years 2 months
deep-learning
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