About the author
Abstract: McCoy R. Becker is a PhD student in the MIT Probabilistic Computing Project . The author works on topics related to applied software engineering in machine learning, with a focus on probabilistic programming - a paradigm which combines Bayesian inference in structured models with differentiable programming.
Keywords: Probabilistic programming, programming languages, machine learning
Before embarking on a PhD, the author worked as a machine learning scientist at Beacon Biosignals  - a startup working to re-think the tools which support how clinical neuroanalysis is performed, as well as a machine learning scientist at Charles River Analytics .