Bio

I am a second year PhD student in the Department of Statistics at the University of Oxford. My supervisors are Arnaud Doucet and Tom Rainforth. I am broadly interested in probabilistic machine learning, generative models and variational inference.

I have worked on gradient based hyperparameter optimization through exploring the links between variational inference and Hamiltonian Monte Carlo. I have also worked on novel methods for online inference in sequential state space models with applications to tracking and extracting meaning from long video sequences.

Before coming to Oxford, I completed a Masters in Information Engineering at the University of Cambridge where I was supervised by José Miguel Hernández-Lobato.

I have written about some of my research in blog form here