Gregory Brunner is a Principal Data Scientist and team lead at Esri with over a decade of experience applying AI, computer vision, and advanced imagery analytics to real-world geographic problems. He leads and mentors technical teams in Esri’s Professional Services, has integrated ONNX deep learning support into imagery workflows, and contributed interactive Jupyter dashboard UI work to Esri’s popular arcgis-python-api. An award-winning adjunct professor and lesson author, he builds practical curricula that teach Python and ArcGIS Notebooks to practitioners and students alike. Gregory’s background in physics and early career work on sensor and LiDAR processing inform his strength in turning abstract quantitative geospatial challenges into production-ready tools. He also explores extended reality and 3D GIS integration, bridging cutting-edge research with operational mapping needs.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Physics, Master of Science (MS) Physics at Rice University
Documentation and samples for ArcGIS API for Python
Role in this project:
Full-stack Developer
Contributions:7 commits, 4 PRs, 2 comments in 1 year
Contributions summary:Gregory contributed to a Jupyter Dashboard for raster analytics by implementing a user interface with interactive widgets. The contributions included creating a dropdown for selecting raster functions and another dropdown for selecting study areas. Additionally, the user modified the `osm_runner.ipynb` notebook to install necessary dependencies. Finally, the user added and updated the `population_exploration_dashboard.ipynb` file.
Contributions:259 commits, 3 PRs, 249 pushes in 2 years
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.
Request Free Trial
Gregory Brunner - Principal Data Scientist And Team Lead