I’m also a statistical ambassador for the Royal Statistical Society.

I’m interested in developing interpretable machine learning models which complement human expertise, rather than attempt to replace it. For a high-level overview on some recent-ish work, here’s a video of a talk I gave at the PROBPROG conference in Boston in September, 2018.

My thesis focused on sequential Monte Carlo methods, and their application to general-purpose inference in probabilistic programs.