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Thursday, November 15 • 5:10pm - 6:00pm
Panel I: Thoughtful Software Engineering

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The distinguishing quality of SBTB is that authors step back from the problem at hand and think how it can be abstracted and composed from reusable abstractions.  Over the years the community evolved numerous approaches that went mainstream, such as type-level programming, reactive systems, and more.  What are the best software engineering practices worth adopting?  We'll invite some of the best positioned folks in the community to share their views and experiences.

Speakers
avatar for Rúnar Bjarnason

Rúnar Bjarnason

Co-founder, Unison Computing
My name is Rúnar. I’m a software engineer in Boston, an author of a book, Functional Programming in Scala, and cofounder of Unison Computing. We're making a distributed programming language called Unison. | | Talk to me about functional programming, relational database theory... Read More →
avatar for Bryan Cantrill

Bryan Cantrill

CTO, Joyent
Bryan Cantrill is the CTO at Joyent, where he oversees worldwide development of the SmartOS and SmartDataCenter platforms, and the Node.js platform.Prior to joining Joyent, Bryan served as a Distinguished Engineer at Sun Microsystems, where he spent over a decade working on system... Read More →
avatar for Cliff Click

Cliff Click

CEO, Rocket Realtime School
Cliff Click was the CTO of Neurensic (now successfully exited), and CTO and Co-Founder of h2o.ai (formerly 0xdata), a firm dedicated to creating a new way to think about web-scale math and real-time analytics. He wrote my first compiler when Ihewas 15 (Pascal to TRS Z-80!), although his most famous compiler is the HotSpot Server Compiler (the Sea of Nodes IR). Cliff helped A... Read More →
avatar for Marius Eriksen

Marius Eriksen

infrastructure-infrastructure engineer, Grail
Marius is the author of such ideas as Finagle, Zipkin, Your Server is a Function, and many others.
avatar for Martin Odersky

Martin Odersky

Chief Architect, Lightbend
avatar for Julie Pitt

Julie Pitt

Director, Machine Learning Infrastructure, Netflix
Julie leads the Machine Learning Infrastructure at Netflix, with the goal of scaling Data Science while increasing innovation. She previously built streaming infrastructure behind the "play" button while Netflix was transitioning from domestic DVD-by-mail service to international... Read More →


Thursday November 15, 2018 5:10pm - 6:00pm
functional

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