Sophie Watson
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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.

Sessions

  • Scale
    Intermediate

    Kubernetes and software engineering practice are quietly revolutionizing data science by providing practitioners with better infrastructure and more disciplined habits, and many tools build on these primitives and practices to make machine learning deployments on Kubernetes simple,…