Paul Gesel
Applied Scientist at RAI Institute
Greater Boston United States
Summary
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Rockstar🎓
Top SchoolPaul Gesel is an applied scientist and robotics researcher with nine years of experience and a PhD focused on learning from demonstration for assistive robotics. He blends a mechanical engineering background with advanced computer science training to build learning-based controllers and AI-driven robotic systems, with deep hands-on experience in ROS/ROS 2 and controller implementation. Paul has contributed to open-source robotics tooling and shipped features for industry platforms while working at MathWorks and PickNik, and now applies that expertise at RAI Institute. Known for bridging theory and practice, he specializes in ML, optimization, and human-in-the-loop control, often turning academic research into production-capable software. An unexpected strength is his fluency across the full research lifecycle—from experimental tank and sensor work early in his career to code-generation and declarative parameter libraries for robust robotic deployments.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.95, Doctor of Philosophy - PhD, Computer Science, 3.95 at University of New Hampshire
Github Skills (64)
robotics10
gazebosim10
robot-control10
hierarchical10
python10
behavior10
machine-learning10
ignition10
astar10
robot10
moveit10
deep-learning10
gpu10
control-systems10
slam-algorithms10
Programming languages (10)
Github contributions (5)
pac48/gen_param_struct
Jun 2022 - Sep 2022
Contributions:76 commits, 3 PRs, 54 pushes in 2 months
pac48/Yumi
Oct 2019 - Sep 2022
Contributions:71 pushes, 1 branch in 2 years 10 months
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