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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

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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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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Careers
Blog

Kevin Aydin

Kevin Aydin

Research Areas

Authored Publications

Google

Distributed Balanced Partitioning via Linear Embedding

Kevin Aydin

MohammadHossein Bateni

Vahab Mirrokni

Algorithms, 12:8 (2019), pp. 162

Randomized Experimental Design via Geographic Clustering

David Rolnick

Kevin Aydin

Jean Pouget-Abadie

Shahab Kamali

Vahab Mirrokni

Amir Najmi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2019)

Variance Reduction in Bipartite Experiments through Correlation Clustering

Jean Pouget-Abadie

Kevin Aydin

Warren Schudy

Kay Brodersen

Vahab Mirrokni

Thirty-third Conference on Neural Information Processing Systems (2019) (to appear)

Cache-aware load balancing of data center applications

Aaron Archer

Kevin Aydin

MohammadHossein Bateni

Vahab Mirrokni

Aaron Schild

Ray Yang

Richard Zhuang

Proceedings of the VLDB Endowment, 12 (2019), pp. 709-723

Distributed Balanced Partitioning via Linear Embedding

Kevin Aydin

Mohammadhossein Bateni

Vahab Mirrokni

Ninth ACM International Conference on Web Search and Data Mining (WSDM), ACM (2016), pp. 387-396

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