| Benedetta Bertolli |
Analysis of PDEs |
Greg Pavliotis |
| Sara Bicego |
Deep learning methods for Hamilton-Jacobi-Bellman PDEs |
Dante Kalise and Nikolas Kantas |
| Lancelot Da Costa |
Stochastic thermodynamics |
Greg Pavliotis and Karl Friston |
| Augusto Del Zotto |
Analysis and PDEs, fluid mechanics |
Michele Coti Zelati |
| Theo Diamantakis |
Stochastic Dynamics |
Darryl Holm and Greg Pavliotis |
| Carlos Doebeli |
Controlling swarm robotics with optimal transport |
Dante Kalise and Colin Cotter |
| Jacob Francis |
Transport methods for forecast verification |
Colin Cotter |
| Thomas Gregory |
Compatible finite element methods for ocean modelling |
Colin Cotter |
| Yueyang Huang |
Stochastic optimization algorithms for physics-informed neural networks |
Dante Kalise and Nikolas Kantas |
| Karina Kowalczyk |
Compatible finite element methods for numerical weather prediction |
Colin Cotter |
| Muhammed Ali Mehmood |
Hydrodynamic models for interacting agents |
Ewelina Zatorska |
| Marc Nualart Batalla |
Analysis and PDEs, fluid mechanics |
Michele Coti Zelati |
| Tobias Schroeder |
Analysis of algorithms for machine learning and optimization |
Andrew Duncan and Greg Pavliotis |
| Tianyi Pu |
Fractional Differential Equations |
Sheehan Olver |
| David Villringer |
Stochastic PDEs |
Michele Coti Zelati and Martin Hairer |
