Defining the technology of today and tomorrow.

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

Algorithms & Theory

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Machine Intelligence

Machine Perception

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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

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

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General Science

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Human-Computer Interaction and Visualization

Responsible AI

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

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Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

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

Jaeheon Yi

I am a programming languages researcher and software engineer at Google. I'm interested in creating practical and scalable tools for software developers to catch subtle errors such as data races. My personal homepage is: http://jaeheon.info

Research Areas

Authored Publications

Google

How Developers Use Data Race Detection Tools

Caitlin Sadowski

Jaeheon Yi

Evaluation and Usability of Programming Languages and Tools (PLATEAU), ACM (2014)

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Defining the technology of today and tomorrow.

Philosophy

People

Research areas

Foundational ML & Algorithms

Computing Systems & Quantum AI

Science, AI & Society

Projects

Publications

Resources

Shaping the future, together.

Student programs

Faculty programs

Conferences & events

Jaeheon Yi

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