Matthew O'kelly

Senior Staff Research Scientist at Waymo

San Francisco, California, United States
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Summary

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Rockstar
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Matthew O'kelly is a Senior Staff Research Scientist based in San Francisco with 11 years of experience at the intersection of robotics, autonomy, and trustworthy AI. He has progressed through research roles at Waymo—from Senior Research Scientist to Staff and now Senior Staff—bringing applied research into production-grade autonomous systems. His background blends a Ph.D. in Electrical and Systems Engineering with hands-on mechanical and embedded engineering earlier in his career, enabling a practical systems view from hardware to algorithms. As former CTO of a Trustworthy AI startup, he pairs leadership and product thinking with deep technical expertise in safety, robustness, and real-world deployment. Matthew’s academic stints at MIT, Stanford, and Nagoya University reflect a broad international research footprint and collaboration network. He is known for translating complex research into operational solutions that scale on real vehicles and systems.
code12 years of coding experience
job15 years of employment as a software developer
bookHigh School Diploma, High School Diploma at St. Charles Preparatory School
bookBachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at The Ohio State University
bookDoctor of Philosophy (Ph.D.), Electrical and Systems Engineering, Doctor of Philosophy (Ph.D.), Electrical and Systems Engineering at University of Pennsylvania
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Github Skills (43)

autonomous-vehicles10
ros10
autonomous-driving10
probabilistic-reasoning9
gymnasium9
statistics9
bayesian-methods9
deep-learning8
skeleton-code8
machine-learning8
probabilistic-programming8
data-science8
simulator8
unreal-engine-48
imitation-learning7

Programming languages (4)

DockerfileC++Jupyter NotebookPython

Github contributions (5)

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f1tenth/F110CPSWeek2018

Jun 2018 - Oct 2018

Collection of code from CPSWeek competition held in 2018
Contributions:19 commits, 4 PRs, 19 pushes in 3 months
machine-learning
mlab-upenn/arch-apex

Jan 2016 - Mar 2016

Benchmarks for ARCH 2016 at CPS Week
Contributions:62 commits, 55 pushes in 2 months
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