David Shean
Associate Professor
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDavid Shean is an associate professor and geospatial entrepreneur with 13+ years of experience developing automated remote sensing and data-science pipelines to study the cryosphere, water resources, sea-level rise, and natural hazards. He combines field and airborne experience with satellite mission operations expertise—having worked on Mars imaging teams and contributed build/configuration improvements to the widely used NASA Ames Stereo Pipeline—to bridge instrument development, cloud-enabled processing, and large-scale DEM analysis. His research emphasizes scalable, automated workflows that turn thousands of high-resolution DEMs and multisensor observations into actionable insights for glacier mass balance and snow-depth mapping across regions like CONUS and High-Mountain Asia. A PhD in Earth and Space Sciences and a background in geology-physics and mathematics give him a rare blend of rigorous quantitative training and hands-on systems engineering.
14 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Earth and Space Sciences, Doctor of Philosophy (Ph.D.), Earth and Space Sciences at University of WashingtonSc.B., Geology-Physics/Mathematics, Sc.B., Geology-Physics/Mathematics at Brown University
Stackoverflow
1,045reputation
95kreached
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5questions
Github Skills (23)
scripting10
script10
build-automation10
sh10
shell10
compile-time9
compile9
compiler9
cmake8
makefile8
gnu-make8
cin7
continuous-integration7
macos6
homebrew6
Programming languages (13)
Github contributions (5)
NeoGeographyToolkit/StereoPipeline
Aug 2012 - Aug 2020
The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:27 commits, 5 PRs, 33 comments in 8 years 2 months
Contributions summary:David primarily contributed to the build and configuration aspects of the repository. They modified build scripts (build_vw_asp.csh), updating dependencies, include flags, and source directories. Additionally, the user implemented and refined the build process for VisionWorkbench and Ames Stereo Pipeline, ensuring successful compilation and installation. The user's efforts appear focused on setting up and maintaining a robust build environment.
geodesyrobotics
UW-GDA/gda_course_2021
Dec 2020 - Jun 2021
Python Geospatial Data Analysis Course offered at UW during winter 2021
Contributions:75 commits, 62 pushes, 2 branches in 5 months
data-analysisgeospatialpython
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