Conference talk, 8th International Conference on Learning Representations (ICLR), 2020, Virtual
Uses advances in Bayesian machine learning to get aleatoric and epistemic uncertainties for cancer survival prediction. Slides: Uncertainty in cancer survival prediction.pdf
Tutorial, Department of Statistics, University of Oxford, Oxford, UK
A gentle introduction to Bayesian neural networks majorly focusing on weight-space variational inference. Slides: Introduction to Bayesian Neural Networks.pdf
Tutorial, Department of Statistics, University of Oxford, Oxford, UK
Provides a gentle introduction to causal inference, starts from structural causal models to discussing some recent methods to combine intervention and observational data in genetic settings. Slides: Introduction to Causal Inference.pdf