Charles Siegel is a Senior Applied Scientist at Amazon, specializing in machine learning within distributed systems and big data. They hold a Ph.D. in mathematics and have previous experience as a Postdoctoral Research Associate at the Pacific Northwest National Laboratory, where they focused on deep learning techniques and published research on scientific data applications. Prior to Amazon, Siegel worked as an AI Research Scientist at Meta and held roles at Hewlett Packard Enterprise and Cray Inc. Additionally, they were a Postdoctoral Researcher at the Kavli Institute for the Physics and Mathematics of the Universe, leading research programs in pure mathematics.
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