I am interested in Bayesian approaches to machine learning and statistical inference. Currently I am working on MCMC methods for scientific applications, supervised by Iain Murray. Previously I worked on Bayesian optimisation for hyperparameter tuning of large deep learning-based models.
- We won one of the categories in the Cside 2018 competition, inferring the parameters of an ordinary differential equation model of the cardiac action potential. I gave a talk about our solution at the associated conference.