Town Hall: Contributors’ perspectives
Join Edd Wilder-James, Sean Morgan, Jason Zaman, Karmel Allison, Martin Wicke, and Margaret Maynard-Reid to hear about the rapid growth of open source ML communities and a future road map for community building. Learn best practices, use cases, and how to develop metrics for your project by learning from other contributors to TensorFlow.
Edd Wilder-James is a strategist at Google, where he is helping build a strong and vital open source community around TensorFlow. A technology analyst, writer, and entrepreneur based in California, Edd previously helped transform businesses with data as vice president of strategy for Silicon Valley Data Science. Formerly Edd Dumbill, Edd was the founding program chair for the O’Reilly Strata Data Conference and chaired the Open Source Software Conference for six years. He was also the founding editor of the peer-reviewed journal Big Data. A startup veteran, Edd was the founder and creator of the Expectnation conference management system and a cofounder of the Pharmalicensing online intellectual property exchange. An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME and created the DOAP vocabulary for describing software projects. Edd has written four books, including Learning Rails (O’Reilly).
Two Six Labs
Sean Morgan is a lead research engineer at Two Six Labs. He’s an OSS maintainer and software enthusiast who blends an engineering background with expertise in machine learning. He’s researched and deployed production models for the semiconductor and defense industry. In his free time, he enjoys working as the SIG lead for TensorFlow add-ons and contributing to various other OSS libraries. He earned a masters in electrical engineering from the University of Virginia and a bachelors in chemical engineering from the University of Maryland.
Jason Zaman is a senior staff software engineer at Light Labs, as well as Gentoo Linux developer, TensorFlow SIG-Build Lead, and ML-GDE.
Karmel Allison is an engineering manager at Google, where she leads a team of engineers working to make TensorFlow high-level APIs easy to use and flawless to scale. Karmel has over 10 years of experience in software development and machine learning. Previously, she led engineering teams building a DNA sequencer at Genia and serving real-time recommendations at Quora. She holds a PhD in bioinformatics from the University of California, San Diego.
Martin Wicke is a software engineer at Google working on making sure that TensorFlow is a thriving open source project. Previously, Martin worked in a number of startups and did research on computer graphics at Berkeley and Stanford.
Margaret Maynard-Reid is a machine learning engineer and Google Developer Expert (GDE) at Tiny Peppers, and she’s a contributor to the open source ML framework TensorFlow. She writes blog posts and speaks at conferences about on-device ML, deep learning, computer vision, TensorFlow, and Android. Margaret is passionate about community building and helping others get started with AI and ML. She’s a community leader of GDG Seattle and Seattle Data/Analytics/Machine Learning Meetup.
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