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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
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Foundational ML & Algorithms

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Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

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Software Systems

Distributed Systems & Parallel Computing

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Networking

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Climate & Sustainability

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Education Innovation

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Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Participating in the academic research community through meaningful engagement with university faculty.
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Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Careers
Blog

Art Pope

Art Pope

Art Pope received BS and PhD degrees from the University of British Columbia, and an SM from Harvard, all in computer science. He is a software engineer at Google in Mountain View, CA. Prior to joining Google in 2011 he worked at BBN, GE, Sarnoff and SAIC. His research interests include computer vision, machine learning and artificial intelligence.

Research Areas

Authored Publications

Google

A connectomic study of a petascale fragment of human cerebral cortex

Alex Shapson-Coe

Michal Januszewski

Daniel R. Berger

Art Pope

Yuelong Wu

Tim Blakely

Richard L. Schalek

Peter Hawley Li

Shuohong Wang

Jeremy Maitin-Shepard

Neha Karlupia

Sven Dorkenwald

Evelina Sjostedt

Laramie J Leavitt

Dongil Lee

Luke Bailey

Angerica Fitzmaurice

Rohin Kar

Benjamin Field

Hank Wu

Julian Wagner-Carena

David Aley

Joanna Lau

Zudi Lin

Donglai Wei

Hanspeter Pfister

Adi Peleg

Viren Jain

Jeff W. Lichtman

bioRxiv (2021)

High-Precision Automated Reconstruction of Neurons with Flood-Filling Networks

Michał Januszewski

Jörgen Kornfeld

Peter H. Li

Art Pope

Tim Blakely

Larry Lindsey

Jeremy B Maitin-Shepard

Mike Tyka

Winfried Denk

Viren Jain

Nature Methods (2018)

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