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Naman Agarwal is a highly skilled Staff Research Scientist at Google, where contributions include the development of fast optimization methods for machine learning, particularly in deep learning, as well as addressing distributed optimization and privacy concerns. Prior roles at Google encompassed positions as Senior Research Scientist and Research Scientist, alongside a research internship focusing on communication-efficient private algorithms for distributed mean estimation. Academic achievements include a PhD in Computer Science from Princeton University, a Master's from the University of Illinois Urbana-Champaign, and a Bachelor's from the Indian Institute of Technology, Bombay. Naman's early academic experiences also include a research internship at Microsoft Research and a visiting student position at the Simons Institute for Theory of Computing.