Jon Barron

Jon Barron researches computer vision and machine learning as a Principal Research Scientist at Google DeepMind, where he leads a team working on neural radiance fields. His work spans image generation, 3D reconstruction and computational photography.

Career

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Based in: Menlo Park
Elsewhere

Google DeepMind

Oct 2025 — Present

Principal Research Scientist

Google

Senior Staff Research Scientist
Oct 2021 — Oct 2025
San Francisco, California, United States
Staff Research Scientist
Oct 2018 — Oct 2021
San Francisco, California, United States
Senior Research Scientist
Jul 2015 — Oct 2018
Research Scientist
Jan 2014 — Jul 2015
Software Engineer, Google[x]
Jan 2013 — Jan 2014

NASA Ames Research Center

2009 — 2009

Intelligent Robotics Group Intern

New York University

2007 — 2008

Junior Research Scientist

Novartis Institutes for Biomedical Research

2007 — 2007

Computational Biology Intern

BAE Systems

2006 — 2006

Multisensor Exploitation Team Intern

University of California - Berkeley

PhD

University of Toronto - University College

Bachelor's studies in software

Products & media

jonbarron.info

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

Jonathan T. Barron and coauthors present a method combining grid-based neural rendering with antialiasing to improve reconstruction quality and training speed.

haian-jin.github.io

ZipMap: stateful 3D reconstruction

Jon Barron and coauthors present a method that compresses image collections into a scene state for linear-time 3D reconstruction and queries about new viewpoints.

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Jon Barron

Google DeepMind

Google

Senior Staff Research Scientist

Staff Research Scientist

Senior Research Scientist

Research Scientist

Software Engineer, Google[x]

NASA Ames Research Center

New York University

Novartis Institutes for Biomedical Research

BAE Systems

University of California - Berkeley

University of Toronto - University College

Products & media

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

ZipMap: stateful 3D reconstruction

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