Speaker: Alex Beutel

Senior Research Scientist @Google

Alex Beutel is a Senior Research Scientist in the Google Brain SIR team working on neural recommendation, fairness in machine learning, and ML for Systems. He received his Ph.D. in 2016 from Carnegie Mellon University’s Computer Science Department, and previously received his B.S. from Duke University in computer science and physics. His Ph.D. thesis on large-scale user behavior modeling, covering recommender systems, fraud detection, and scalable machine learning, was given the SIGKDD 2017 Doctoral Dissertation Award Runner-Up. He received the Best Paper Award at KDD 2016 and ACM GIS 2010, was a finalist for best paper in KDD 2014 and ASONAM 2012, and was awarded the Facebook Fellowship in 2013 and the NSF Graduate Research Fellowship in 2011. More details can be found at alexbeutel.com.

Talk : Machine-Learned Indexes - Research from Google

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Tracks

Monday, 24 June

Tuesday, 25 June

Wednesday, 26 June

  • Architecting For Failure

    More than just building software, building deployable production ready software in the face of guaranteed failure.

  • 21st Century Languages

    Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.

  • Building High-Performing Teams

    What “high-performing team” means and how to build one effectively depends on context. This track will share different experiences of building high-performing teams in order to highlight how different contexts lead to different solutions but also what typically stays the same because we’re still dealing with humans trying to work together. How do different forces affect the building of high-performing teams.

  • Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond

    Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.

  • High-Performance Computing: Lessons from FinTech & AdTech

    Killing latency and getting the most out of your hardware.