Sep 23–26, 2019

Chad Scherrer
Senior Data Scientist, Metis

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

3:45pm–4:25pm Thursday, September 26, 2019

Location: 1A 08/10

Soss: Lightweight probabilistic programming in Julia

Data Science, Machine Learning, & AI

Secondary topics: Deep dive into specific tools, platforms, or frameworks

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.