Alex Matthews

Alex Matthews

I am a PhD student in the Machine Learning Group supervised by Zoubin Ghahramani. As an undergraduate I studied Natural Sciences at the University of Cambridge, specialising in theoretical physics. My fourth year project studied scattering in the fractional quantum Hall effect with Nigel Cooper. After that I worked in industry for Navetas Energy Management, a University of Oxford spin-out company which applies machine learning to the problem of home energy disaggregation.

I am interested in Bayesian nonparametric machine learning, particularly spatial point processes and Gaussian processes. I am also interested in approximate Bayesian inference, particularly Markov chain Monte Carlo methods, belief propagation and variational methods.

My AISTATS paper with James Hensman and Zoubin Ghahramani entitled “Scalable Variational Gaussian Process Classification” can be found here:

http://jmlr.org/proceedings/papers/v38/hensman15.pdf

An arXiv pre-print of my work on spatial point point processes can be found at:

http://arxiv.org/abs/1405.4141

A full CV can be found here. For enquiries please contact:

Alex Matthews