I am a PhD candidate in the Computational and Biological Learning lab at the University of Cambridge, supervised by Dr Richard E Turner and advised by Prof Carl Rasmussen. I am interested in designing algorithms for large-scale machine learning systems that learn sequentially without revisiting past data, are private over user data, and are uncertainty-aware.

I use probabilistic methods, and have focussed on approximate Bayesian inference techniques, usually variational inference. My research scales these techniques to large Bayesian neural network models, and applies these to the continual learning (/lifelong learning) and federated learning problems.

List of publications.