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.
Jing Nathan YAN
Research Scientist at Google DeepMind
United States
Overview
Topics They Care 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.
Efficient AI Systems
His PhD research at Cornell University and various publications center on making AI systems more efficient, particularly for large-scale data processing.
Media Appearances
Jing has no verified media appearances
Work History
9-2024
Research Scientist at Google DeepMind
3-2018
Co-Founder at PowerFairness
8-2019
Graduate Research Assistant at Cornell University
5-2022 - 8-2022
Research Intern at Meta
5-2021 - 8-2021
Research Intern at Microsoft
Education
2019 - 2024
Doctor of Philosophy - PhD from Cornell University
2016 - 2019
Computer Science from The University of Hong Kong
More Information
Social Presence :
Prographics :
Exp : 4
Location : United States
Job Level : Leadership
Designation : Research Scientist at Google DeepMind
