Miles Currie is a Satellite AI/ML Scientist with nine years of experience applying machine learning, computer vision, and radiative transfer modeling to space- and field-based sensing problems. He develops production-focused AI models for satellite hazard alerting—particularly wildfires—combining astrophysics-grade spectroscopic retrieval techniques with operational remote sensing pipelines. His background includes postdoctoral work at NASA Goddard building imaging spectroscopy simulators and calibration/analysis tools that helped define next-generation flagship mission capabilities. Miles bridges domain science and software: he has run prescribed-burn field experiments and produced empirical fire-spread models in Python while also crafting ML classifiers for transient astrophysical events. Based in the Greater Seattle Area, he brings a rare mix of hands-on observational experimentation, advanced physics-based modeling, and applied ML for real-time environmental monitoring.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Astronomy and Astrobiology (dual-title), Doctor of Philosophy - PhD Astronomy and Astrobiology (dual-title) at University of Washington
Bachelor's degree Physics and Astrophysics, Bachelor's degree Physics and Astrophysics at Florida State University
Contributions:53 pushes, 1 branch in 2 years 1 month
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