Jonathan Owens
Lead Scientist Material Chemistry And Physics
Town of Niskayuna, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Owens is a Lead Scientist specializing in material chemistry and physics with 11 years of experience bridging computational science, computer vision, and applied AI for industrial problems. He has led and deployed AI-driven inspection and materials-analysis tools used on manufacturing shop floors and drives computational quantum chemistry efforts within GE’s research and quantum platforms. His background spans hands-on software engineering—Python, C++, JavaScript—and contributions to prominent open-source robotics tooling like Drake, where he worked on controller and test integration. Jonathan pairs a PhD in Physics with practical product delivery experience from startups to enterprise, regularly winning government grants and collaborating with academia. Known for mentoring early-career researchers, he uniquely combines deep theoretical skills (quantum and molecular simulation) with pragmatic systems engineering to move algorithms into production.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at The University of Texas at AustinDoctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Rensselaer Polytechnic Institute
Github Skills (7)
robotics10
c-language10
cprogramming-language10
drake10
testing9
control-systems9
optimization8
Programming languages (4)
Github contributions (5)
RobotLocomotion/drake
Feb 2016 - May 2016
Model-based design and verification for robotics.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:20 commits, 24 PRs, 1 push in 2 months
Contributions summary:Jonathan primarily contributed to the codebase by merging updates from the main branch. They also addressed merge conflicts, indicating involvement in the integration of changes from other contributors. The code differences suggest modifications to files related to controller implementations, test files and optimization, suggesting a focus on control systems and robotics applications.
model-basedmodel-based-designroboticsdrakeverification
jonathan-owens/drake
Feb 2016 - Nov 2016
Contributions:76 pushes, 16 branches in 9 months
pythonnonlineartoolboxdynamical-systemsdynamical
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