thomas

In the past my research focussed on ways of making probabilistic inference better, but now I am trying some new things.

Currently I am doing a bit of mech-interp work.

I have previously worked on ways of making wake-sleep type variational inference, fast maximum likelihood fitting of exponential family distributions and moment estimation scale better in the number of latent variables in the probabilistic model. In this research I am supervised by Laurence Aitchison.

In addition to this primary line of enquiry I am interested in:

Deep learning theory
Bayesian Machine learning more generally

Before starting my PhD I worked in industry, most recently as a research engineer working on speech recognition for fraud detection. Prior to that I did my MSc at The University of Edinburgh where my thesis was supervised by David Sterratt and Melanie Stefan

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