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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