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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.
Learn more about our Conferences & events

Conferences & events

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Careers
Blog

Arno Eigenwillig

Arno Eigenwillig

Research Areas

Authored Publications

Google

General Geospatial Inference with a Population Dynamics Foundation Model

Mohit Agarwal

Mimi Sun

Chaitanya Kamath

Arbaaz Muslim

Prithul Sarker

Joydeep Paul

Hector Yee

Marcin Sieniek

Kim Jablonski

Yael Mayer

David Fork

Sheila de Guia

Jamie McPike

Adam Boulanger

Tomer Shekel

David Schottlander

Yao Xiao

Manjit Chakravarthy Manukonda

Yun Liu

Neslihan Bulut

Sami Abu-El-Haija

Arno Eigenwillig

Bryan Perozzi

Monica Bharel

Von Nguyen

Luke Barrington

Niv Efron

Yossi Matias

Greg Corrado

Krish Eswaran

Shruthi Prabhakara

Shravya Shetty

Gautam Prasad

(2024) (to appear)

Fast Routing in Very Large Public Transportation Networks Using Transfer Patterns

Hannah Bast

Erik Carlsson

Arno Eigenwillig

Robert Geisberger

Chris Harrelson

Veselin Raychev

Fabien Viger

Algorithms - ESA 2010, 18th Annual European Symposium. Proceedings, Part I, Springer, pp. 290-301

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