I am a Senior Lecturer (Assoc Prof) in Machine Learning at the School of Informatics of the University of Edinburgh, affiliated with the Institute for Adaptive & Neural Computation.
My research is in machine learning for science, with a focus on developing methods for (Bayesian) inference and design.
TMLR: Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families [link]
eLife: Designing Optimal Behavioral Experiments Using Machine Learning [link]
TMLR: Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling [link]
JMLR: Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data [link]
ICML: Is Learning Summary Statistics Necessary for Likelihood-free Inference? [link]