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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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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

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

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

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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Projects

Publications

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

Resources

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

Faculty programs

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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Conferences & events

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Careers
Blog

Rachel Fan

Research Areas

Data Mining and Modeling

Authored Publications

Google

CTV Reach Measurement Using Panel Data

Emil Martayan

Han Yan

Jon Vaver

Rachel Fan

Wei Liu

Uday Chaudhary

Google Research (2024)

CTV Co-viewing Rate Estimation Using Online Surveys

Rachel Fan

Wei Liu

Jon Vaver

Google LLC (2021)

Methods for Measuring Brand Lift of Online Ads

Rachel Fan

Tim Hesterberg

Ying Liu

Lu Zhang

Proceedings of the 2018 Joint Statistical Meetings, American Statistical Association

Attribution Model Evaluation

Kyra Singh

Jon Vaver

Richard E. Little

Rachel Fan

Google LLC (2018)

Brand Attitudes and Search Engine Queries

Jeffrey P. Dotson

Ruixie Rachel Fan

Elea McDonnell Feit

Jeffrey D. Oldham

Yi-Hsin Yeh

Journal of Interactive Marketing, 37 (2017), pp. 105-116 (to appear)

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