July 13–16, 2020
Dean Wampler

Dean Wampler
Head of Developer Relations, Anyscale

Website | @deanwampler

Dean Wampler is an expert in streaming data systems, focusing on applications of ML/AI. He is Head of Evangelism at Anyscale, which is focused on distributed Python for ML/AI. Previously, he was an engineering VP at Lightbend, where he led the development of Lightbend CloudFlow, an integrated system for building and running streaming data applications with popular open source tools. Dean has written books for O’Reilly and contributed to several open source projects. He is a frequent conference speaker and tutorial teacher, and a co-organizer of several conferences and user groups in Chicago. Dean has a Ph.D. in Physics from the University of Washington.

Sessions

9:00am–5:00pm Tuesday, 07/14/2020
Location: D139/140
Dean Wampler (Anyscale)
Ray is a system for scaling Python apps from single machines to large clusters. It solves common problems in scalable, distributed computing, so Python developers don’t need this expertise. Dean Wampler outlines examples that show how Ray sits between broad but inflexible frameworks, and low-level libraries that are hard to use. Read more.
1:45pm–3:15pm Thursday, 07/16/2020
Location: C123
Dean Wampler (Anyscale)
Ray is a system for scaling Python apps from single machines to large clusters. It solves common problems in scalable, distributed computing, so Python developers don’t need this expertise. We'll explore examples that show how Ray sits between broad, but inflexible frameworks, and low-level libraries that are hard to use. The lessons learned are broadly applicable to all application developers. Read more.

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