Joe Eaton is a Distinguished System Engineer for Data and Graph Analytics at NVIDIA. With expertise in applied mathematics, optimization, and parallel computing, they lead initiatives on Graph Neural Networks and Last Mile Delivery systems, and are one of the founders of RAPIDS, a Python stack for GPU accelerated data science. Previously, Joe held various leadership roles, including V.P. Engineering at Algebraix Data Corporation and Senior CFD Engineer at Object Reservoir. They earned a Ph.D. in Computational and Applied Mathematics from The University of Texas at Austin, following a master’s degree from Stanford University and a bachelor's degree from Rice University.
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