Neil G. Marchant

I’m a PhD candidate in the Artificial Intelligence group at the University of Melbourne, supervised by Ben Rubinstein and Rebecca Steorts (at Duke University).

My PhD research applies statistical machine learning to problems in record linkage, including active labelling of ground truth and propagation of linkage uncertainty. More broadly, I am interested in human-in-the-loop machine learning systems, probabilistic graphical models, sampling and approximate inference. I’m a strong believer in the benefits of reproducible research, and strive to release open source code where possible.