I am a Senior Lecturer in Machine Learning at the School of Informatics of the University of Edinburgh, affiliated with the Institute for Adaptive & Neural Computation.

I am broadly interested in developing methods for inference and experimental design and applying them to significant problems in the natural sciences.

Recent papers:

• JMLR: Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data

• ICML: Is Learning Summary Statistics Necessary for Likelihood-free Inference?
• TMLR: Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
• TMLR: Bayesian Optimization with Informative Covariance
• TMLR: Enhanced gradient-based MCMC in discrete spaces
• Behaviormetrika: Statistical applications of contrastive learning