Topics

Statistical Inference

Bayesian Methods

Monte Carlo Methods

Causal Inference

Time series analysis and forecasting

Supervised and Unsupervised Learning

Kernel Methods for Machine Learning

Expressivity, Robustness, Interpretability of DNNs

Deep Learning for Inverse Problems

Convex and Non-Convex Optimisation

Stochastic Optimisation Algorithms

Numerical Modelling

Boundary Element Methods

Finite Element Methods

Virtual Element Methods

Discontinuous Galerkin

Domain Decomposition

Isogeometric Analysis

Numerical Linear Algebra

Approximation Theory

Variational Methods for Inverse Problems

Optimization Methods for Nonlinear PDEs