Sarah Braden is a planetary scientist-turned-data-science consultant with 14 years of experience applying Python, machine learning, and cloud (AWS/GCP) tools to Earth and lunar science problems. As owner of Lunar Scholar Services LLC she serves as Project Scientist on DIMPLE, a CLPS payload supporting NASA’s Artemis program, blending mission-focused research with applied data engineering. Her background includes PhD-level remote sensing and quantitative geomorphology—skills she has translated into predictive modeling and analytics roles at Slalom and HireIQ. She has hands-on experience with high-resolution planetary imagery, radiometric calibration, and producing model ages from crater statistics, expertise that sensibly informs her ML feature engineering for scientific and commercial clients. Based in Denver, she pairs environmental sustainability interests with practical cloud certifications, making her adept at reproducible, scalable science workflows. A less obvious strength is her long history of science communication—80+ published LROC blog posts—demonstrating an ability to make complex technical results accessible.
14 years of coding experience
12 years of employment as a software developer
PhD Geological Sciences Planetary Science, PhD Geological Sciences Planetary Science at Arizona State University
Bachelor Degree Physics, Bachelor Degree Physics at Northwestern University
Contributions:1 PR, 7 pushes, 2 branches in 2 years 4 months
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Sarah Braden - Owner at Lunar Scholar Services LLC