Sophie is a software engineer at Red Hat, where she works in an emerging technology group. She has a background in Mathematics and has recently completed a PhD in Bayesian statistics, in which she developed algorithms to estimate intractable quantities quickly and accurately. Since joining Red Hat in 2017, Sophie has focused on applying her data science and statistics skills to solving business problems and informing next-generation infrastructure for intelligent application development. She is a regular public speaker at technical conferences including KubeCon and Strata Data.
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Sophie Watson and William Benton explore a way to answer interesting queries about truly massive datasets almost instantly and with a fixed amount of space.