Jeremy Binagia

Applied Scientist II at Amazon Global Robotics

Menlo Park, California, United States
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Summary

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Senior
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Jeremy Binagia is an applied scientist at Amazon Robotics with eight years of experience building high-fidelity, physics-based simulators in C++ and Python to accelerate robotic manipulation research and deployment. He holds a Ph.D. from Stanford where he developed novel, massively parallel algorithms and produced the first fully resolved 3D simulations of microorganisms in viscoelastic fluids, demonstrating deep expertise in fluid-structure interaction and high-performance computing. At Amazon he focuses on modeling contact and pneumatics within Drake-based simulation engines, translating research-grade fidelity into production-capable performance. Jeremy combines rigorous computational science, hands-on systems optimization, and a track record of multidisciplinary collaboration across national labs and academia, making him adept at solving both theoretical and practical simulation challenges.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science (B.S.), Chemical Engineering, 4.0 GPA, Bachelor of Science (B.S.), Chemical Engineering, 4.0 GPA at The University of Texas at Austin
bookDoctor of Philosophy - PhD, Chemical Engineering, 4.068 GPA, Doctor of Philosophy - PhD, Chemical Engineering, 4.068 GPA at Stanford University
languagesEnglish
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Stackoverflow

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Github Skills (16)

robotics10
drake10
hydrogen8
jupyter-kernels8
nteract7
ipython6
vscode6
vscode-extension6
amazon6
jupyter5
lambda4
data-science4
aws4
serverless3
text-editor3

Programming languages (3)

TypeScriptC++Jupyter Notebook

Github contributions (5)

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jbinagia/academic-kickstart

Aug 2020 - Jul 2025

Contributions:239 pushes, 1 branch in 4 years 11 months
Contributions:89 commits, 69 pushes in 11 months
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