Christopher Agia
Doctoral Researcher at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolChristopher Agia is a PhD candidate in Computer Science at Stanford specializing in robot learning, planning, and safe AI, with eight years of experience across industry and academia. He blends hands-on engineering—shipping systems at Google, Microsoft, and Huawei—with deep research at Stanford's IPRL, SAIL, and CRFM on robustness, world models, and autonomy for space and terrestrial robots. His work spans learning-based perception, task-and-motion planning, and multi-agent RL, and includes patents and benchmark-leading results in LiDAR scene completion. Comfortable moving between product-focused engineering and foundational research, he has collaborated with JPL on deep-space autonomy and interned at Meta building world models for robotics. Based in Palo Alto, he values creative, team-driven solutions that translate advanced ML into safer, more capable robotic systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science in Engineering Science, Robotics Major, Artificial Intelligence Minor, Bachelor of Applied Science in Engineering Science, Robotics Major, Artificial Intelligence Minor at University of TorontoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Spanish, English
Github Skills (41)
portable10
sandbox10
scene10
garbage-collector9
wasi9
aot9
parsing9
jit9
webassembly9
rust9
wasmer9
wasmtime8
python8
deep-learning8
gpu8
Programming languages (5)
Github contributions (5)
taskography/taskography-api
Dec 2021 - Jul 2022
A simple API for sampling symbolic planning tasks in large-scale 3D scene graphs
Contributions:65 commits, 5 pushes in 7 months
taskography/3dscenegraph-dev
Apr 2021 - Jul 2022
Dev code for parsing and exploring 3D scene graphs
Contributions:124 commits, 2 pushes in 1 year 2 months
3d-scenedevparsinggraphsscene
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