Galen Vincent
Staff Data Scientist
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolGalen Vincent is a Staff Data Scientist in Denver with eight years’ experience building inferential and predictive models for spatial, time-series, and satellite imagery data and productionizing them in real-time streaming pipelines that process ~10M samples per hour. He blends PhD-level statistics and machine learning training from Carnegie Mellon with an undergraduate physics foundation from Colorado School of Mines, producing rigorously validated analytics informed by physical intuition. At Maxar he leads end-to-end development—brainstorming algorithms, implementing production Java services, and iterating with customers to ensure answers map to real-world questions. His work spans neural-net computer vision for earth systems, spatial statistics for materials science, and efficient streaming algorithms where latency and accuracy are both critical. Colleagues rely on him for clear visual communication of complex results to technical and non-technical stakeholders.
8 years of coding experience
6 years of employment as a software developer
M.S. Statistics, M.S. Statistics at Colorado School of MinesM.S. Statistics and Data Science, M.S. Statistics and Data Science at Carnegie Mellon University
Github Skills (3)
apt9
r-package9
data-processing6
Programming languages (1)
Github contributions (5)
aproudian2/rapt
May 2018 - Apr 2020
R package for APT data processing
Contributions:114 commits, 5 PRs, 41 pushes in 1 year 11 months
r-packagedata-processingaptrstats
galenvincent/rapt
May 2018 - Jun 2019
R package for APT data processing
Contributions:10 PRs, 60 pushes, 2 branches in 1 year 1 month
r-packagedata-processingaptrstats
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.