Sep 23–26, 2019
Chad Scherrer

Chad Scherrer
Senior Data Scientist, Metis

Website

Dr. Chad Scherrer is a Senior Data Scientist with Metis, where he trains burgeoning data scientists. In addition to data science education, he has a passion for technology transfer, especially in the area of probabilistic programming.

His work in probabilistic programming goes back to 2010, when he began leading development of the Haskell-based language Passage. Dr. Scherrer then joined Galois to serve as technical lead for language evaluation in DARPA’s PPAML program, after which he moved to Seattle and joined Metis.

Dr. Scherrer’s blog discusses a variety of topics related to data science, with a particular focus on Bayesian modeling.

Sessions

3:45pm4:25pm Thursday, September 26, 2019
Location: 1A 08/10
Secondary topics:  Deep dive into specific tools, platforms, or frameworks
Chad Scherrer (Metis)
This talk will explore the basic ideas in Soss, a new probabilistic programming library for Julia. Soss allows a high-level representation of the kinds of models often written in PyMC3 or Stan, and offers a way to programmatically specify and apply model transformations like approximations or reparameterizations. Read more.

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