Thomas Rapstine
Geoscientist at ExxonMobil
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolThomas Rapstine is a geophysicist and PhD candidate at the Colorado School of Mines with nine years of experience applying scientific computing, inverse methods, and computer vision to real-world geophysical problems. He combines academic research in seismic data acquisition—currently developing drone-based seismic sensing—with industry work commercializing machine-augmented seismic interpretation at ExxonMobil. His background spans field acquisition (teaching and running multi-method geophysics field camps), government research reconstructing landslide motion from video and lidar at USGS, and internships integrating seismic, gravity, and magnetic datasets at major energy firms. Thomas brings practical signal-separation and machine-learning expertise to messy, sensor-driven problems and has repeatedly bridged the gap between algorithm development and field deployment. Based in Denver, he is unusually skilled at taking concepts from multi-view computer vision into geophysical instrumentation and survey design.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geophysics, Doctor of Philosophy - PhD, Geophysics at Colorado School of Mines
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
ansible-collections7
wps5
survey4
data-management4
climate-change3
ogc3
Programming languages (1)
Github contributions (5)
nrapstine-usgs/hpc-101-webinar
Jan 2017 - Feb 2017
Contributions:39 commits, 37 pushes, 1 branch in 7 days
nrapstine-usgs/fishID
Oct 2018 - Sep 2019
Contributions:5 pushes, 1 branch in 11 months
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