YaGuang Li (李亚光)

Google DeepMind, LaMDA/Bard/Gemini
1600 Amphitheatre Parkway
Mountain View, CA
Email: yaguang@google.com

YaGuang Li

Biography

I am a staff research engineer at Google DeepMind, I co-led the post-training effort of PaLM-2 for Bard. I am also core contributor of LaMDA, PaLM-2 and Gemini working on pre-training, instruction tuning and improving serving efficiency. I earned my Ph.D. degree in Computer Science at the University of Southern California advised by Prof. Cyrus Shahabi and Prof. Yan Liu in 2019. Before that, I received my master's degree in Computer Science from Institute of Software in University of Chinese Academy of Sciences in 2014. My primary research interests lie in machine learning, spatiotemporal prediction and recommendation, deep learning on graphs with applications in transportation. More information is available in my curriculum vitae.

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Patent

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Honors and Awards

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