Sep 23–26, 2019
Chad Scherrer

Chad Scherrer
Senior Data Scientist, Metis

Website

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. Previously, at the beginning of his work in probabilistic programming, he began leading the development of the Haskell-based language Passage, then joined Galois as technical lead for language evaluation in DARPA’s PPAML program, after which he moved to Seattle and joined Metis. His 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
Chad Scherrer (Metis)
Chad Scherrer explores 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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