#### Connected topics

Abstract: McCoy R. Becker is a PhD student in the MIT Probabilistic Computing Project [3]. 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 [1] - 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 [2].

## References

[1] Beacon. Beacon. https://beacon.bio/.
[2] Charles River Analytics. https://cra.com/.
[3] MIT Probabilistic Computing Project. http://probcomp.csail.mit.edu/.