Current Research Directions

• Approximation and Learning: model reduction, neural networks, tensor methods
• Inverse Problems and Data Assimilation: optimal reconstruction schemes, sensor placement
• Numerical Optimal Transport
• Numerical Analysis of PDEs: numerical solution of kinetic models, a posteriori error estimation, domain decomposition
• Applications: haemodynamics, pollution, epidemiology, nuclear engineering