Jing Nathan YAN in

Jing Nathan YAN

Research Scientist at Google DeepMind
📍 United States

Jing Nathan Y. is a Research Scientist at Google DeepMind, specializing in the model efficiency of Large Language Models. He earned his PhD from Cornell University, where his research focused on efficient AI and machine learning systems, building on his computer science background from The University of Hong Kong.

He demonstrates a strong commitment to social impact by co-founding PowerFairness, a non-profit organization. This platform is dedicated to promoting easier and more equitable access to daily information for the public, reflecting his interest in leveraging technology for social good.

Unique fact: He is the co-founder of an NGO, PowerFairness, which is focused on democratizing access to information.

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Experience
4 Years
Current Role
Research Scientist
Job Level
Leadership
Location
United States
Personality Overview
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Priorities

Topics Jing cares about

LLM Efficiency
His current role and primary focus as a Research Scientist at Google DeepMind involves working on the model efficiency of Large Language Models.
Information Accessibility
He co-founded PowerFairness, an NGO platform specifically designed to promote easy and fair access to daily information for everyone.
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Career

Work history

9-2024
Research Scientist
Google DeepMind
3-2018
Co-Founder
PowerFairness
8-2019
Graduate Research Assistant
Cornell University
5-2022 - 8-2022
Research Intern
Meta
5-2021 - 8-2021
Research Intern
Microsoft
In the press

Media appearances

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Education
2019 - 2024
Doctor of Philosophy - PhD
Cornell University
2016 - 2019
Computer Science
The University of Hong Kong
Social presence
in

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