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.
An arXiv pre-print of my work on spatial point point processes can be found at:
An arXiv pre-print of my work on “Scalable Variational Gaussian Process Classification” can be found at:
A full CV can be found here. For enquiries please contact: