Jon Barron
Principal Research Scientist at Google DeepMind
Menlo Park, California, United States
Summary
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Rockstar🎓
Top SchoolJon Barron is a principal research scientist with 18 years of experience at Google and DeepMind, specializing in computer vision, image processing, and neural rendering. He holds a PhD in AI from UC Berkeley and has driven research-to-code transitions, contributing to high-impact open-source projects like Google Research's NeRF implementations and adaptive robust loss functions. His work spans core model development, training and evaluation pipelines, and practical tooling for motion blur synthesis and denoising, reflecting a blend of theoretical depth and engineering rigor. Based in Menlo Park, he also curates and presents his publications and research through a dedicated website, signaling a strong commitment to clear scientific communication. An early contributor to pioneering efforts at Google (including precursor work to Google Brain and Glass vision), he pairs long-term research perspective with hands-on implementation skills.
18 years of coding experience
14 years of employment as a software developer
PhD Computer Science (Artificial Intelligence), PhD Computer Science (Artificial Intelligence) at University of California, BerkeleyHonours BSc Computer Science - Artificial Intelligence, Honours BSc Computer Science - Artificial Intelligence at University of Toronto - University College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
html10
computer-vision10
machine-learning10
jax10
tensorflow10
python10
image-processing10
bash9
shell9
script9
bash-shell9
sh9
Programming languages (5)
Github contributions (5)
google-research/multinerf
Jul 2022 - Oct 2022
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Role in this project:
ML Engineer
ML EngineerContributions:43 commits, 6 PRs, 14 pushes in 2 months
Contributions summary:Jon primarily contributed to the codebase by updating various configuration and script files. These updates included modifications to shell scripts for training, evaluation, and rendering, often specifying different scenes for processing. Additionally, the user made modifications to Python files related to camera utilities, configurations, models, and training utilities, indicating involvement in core model development and potentially optimization. These changes, coupled with the repository's focus on neural radiance fields, suggest the user focused on the model training and evaluation pipeline.
nerfneural-radiance-fieldsrefmip
jonbarron/website
Feb 2017 - Jan 2023
Role in this project:Front-end Developer
Front-end DeveloperContributions:4 reviews, 688 commits, 140 PRs in 6 years
Contributions summary:Jon's commits primarily focus on updating the `index.html` file. Their contributions involve modifying and adding content, specifically related to a list of publications, with mentions of related blog posts and videos. The commits indicate a focus on presenting and organizing the user's research findings, which suggests front-end development for a personal website.
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