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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.
Learn more about our Conferences & events

Conferences & events

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Careers
Blog

Mathias MJ Bellaiche

Research Areas

Health & Bioscience

Authored Publications

Google

LLM-based Lossless Text Simplification and its Effect on User Comprehension and Cognitive Load

Theo Guidroz

Diego Ardila

Jimmy Li

Adam Mansour

Paul Jhun

Nina Gonzalez

Xiang Ji

Mike Sanchez

Sujay Kakarmath

Mathias Bellaiche

Miguel Ángel Garrido

Faruk Ahmed

Divyansh Choudhary

Jay Hartford

Georgina Xu

Henry Serrano

Yifan Wang

Jeff Shaffer

Eric (Yifan) Cao

Yossi Matias

Avinatan Hassidim

Dale Webster

Yun Liu

Sho Fujiwara

Peggy Bui

Quang Duong

arXiv (2025)

Automated LOINC Standardization Using Pre-trained Large Language Models

Tao Tu

Eric Loreaux

Emma Chesley

Adam Daniel Lelkes

Paul Gamble

Mathias Bellaiche

Martin Seneviratne

Ming-Jun Chen

PMLR (2022), pp. 343-355

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