Talks and presentations

Some Bayesian methods for inverse problems
Presented at: NERC Workshop: Bayesian Machine Learning as a tool for Climate Scientists
Centre for Mathematical Sciences, Cambridge, UK
[Slides]

Bayesian Inverse Problems in Ice Sheet modelling
Research Seminar, University of Tübingen, Germany, 23/05/2023

Machine Learning for Sciences: Notes from Recent Experiences
Presented at: Dagstuhl Seminar: Machine Learning for Science: Bridging Data-driven and Mechanistic Modelling
Schloss Dagstuhl - Leibniz Center for Informatics, Germany, 19/09/2022
[Slides]

Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
Presented at: SIAM Conference on Uncertainty Quantification (UQ22)
Atlanta, Georgia, U.S. (hybrid), 13/04/2022
[Slides]

Data-driven computing with noisy material data sets
Presented at: Data driven modelling in Engineering
Dept of Engineering, University of Cambridge, 06/05/2021