Cole Speed
Postdoctoral Fellow at NASA Jet Propulsion Laboratory
United States
Summary
👤
Senior🎓
Top SchoolCole Speed is a postdoctoral fellow and sedimentary geoscientist with eight years of experience blending fieldwork, virtual outcrop modeling, and Python-driven numerical and remote sensing workflows to unravel clastic depositional systems. Trained at UT Austin (PhD, BS Geophysics), he has applied his quantitative toolbox to fluvial and submarine channel stratigraphy and to practical problems ranging from reservoir characterization for industry internships to near–real-time vegetation disturbance mapping at NASA JPL. He teaches Python, GIS, and remote sensing to geoscience students and builds cloud-enabled data workflows for large lidar, point-cloud, and satellite datasets, emphasizing reproducible, accessible science. Driven by interests in energy security and environmental sustainability, he pairs rigorous geomorphologic insight with pragmatic coding and data-engineering skills to translate complex subsurface and surface signals into actionable understanding.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Geological Sciences, Doctor of Philosophy - PhD, Geological Sciences at The University of Texas at Austin
English, Spanish
Github Skills (35)
solara10
folium10
jupyter10
ipyleaflet10
geospatial10
gis10
lidar-data10
geopython10
jupyter-notebook10
streamlit10
lidar10
digital-elevation-model10
geospatial-analysis10
plotly10
data-science9
Programming languages (2)
Github contributions (5)
cmspeed/OPERA_Applications
May 2023 - Aug 2025
Contributions:1 PR, 133 pushes, 31 branches in 2 years 2 months
cmspeed/OT_3DEP_Workflows
Jun 2022 - Jan 2023
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
Contributions:99 commits, 2 PRs, 98 pushes in 7 months
3djupyter-notebooklidar-data
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