Chenkai Sun is a Research Scientist at Google DeepMind, specializing in multi-agent learning and large language model efficiency. They previously interned as an Applied Scientist at Amazon and were a Research Intern at Alibaba Group, where they developed innovative machine learning models. Chenkai earned a Bachelor's Degree in Computer Science with Honors Statistics from the University of Michigan and is currently pursuing a PhD in Computer Science at the University of Illinois at Urbana-Champaign. Their earlier research roles included significant contributions at the University of Michigan and Uber, demonstrating a strong foundation in machine learning and data analysis.
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