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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

Ali Heydari

Ali Heydari

Research Areas

Authored Publications

Google

A Scalable Framework for Evaluating Health Language Models

Neil Mallinar

Ali Heydari

Xin Liu

Tony Faranesh

Brent Winslow

Nova Hammerquist

Ben Graef

Cathy Speed

Mark Malhotra

Shwetak Patel

Xavi Prieto

Daniel McDuff

Ahmed Metwally

(2025)

Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning

Ali Heydari

Naghmeh Rezaei

Xavi Prieto

Shwetak Patel

Ahmed Metwally

2024

Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction

Ali Heydari

Naghmeh Rezaei

Xavi Prieto

Shwetak Patel

ResearchSquare (2023)

No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective

A. Ali Heydari

Naghmeh Rezaei

Daniel J. McDuff

Javier L. Prieto

arXiv (2022)

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