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 (41)
folium9
geopandas9
nasa-api9
lidar-data9
geopython9
gis9
binder9
jupyter-notebook9
solara8
geospatial-analysis8
earth-engine8
elevation8
lidar8
ipyleaflet8
pydeck8
Programming languages (2)
Github contributions (5)
cmspeed/OPERA_Applications
May 2023 - Feb 2025
Contributions:1 PR, 125 pushes, 27 branches in 1 year 9 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, 95 pushes, 4 branches in 7 months
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