About the author

    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

    Figure 1: McCoy a.k.a the maintainer.

    Figure 1: McCoy a.k.a the maintainer.

    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/.