PhD Students
| Name | Research | Supervisor(s) |
|---|---|---|
| Marta Aparicio Rodriguez | Generative modelling | Anastasia Borovykh |
| Benedetta Bertolli | Analysis of PDEs | Greg Pavliotis |
| Sara Bicego | Deep learning methods for Hamilton-Jacobi-Bellman PDEs | Dante Kalise and Nikolas Kantas |
| Nicolas Calvo Peiro | Deep learning for deep brain stimulation | Anastasia Borovykh and Shlomi Haar |
| 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 | Nonlinear model order reduction for moment matching | Dante Kalise and Colin Cotter |
| Jacob Francis | Transport methods for forecast verification | Colin Cotter |
| Matías Gómez | Computational methods for mean field games | Dante Kalise |
| Thomas Gregory | Compatible finite element methods for ocean modelling | Colin Cotter |
| Yueyang Huang | Consensus-based optimisation algorithms and control | Dante Kalise and Nikolas Kantas |
| Karina Kowalczyk | Compatible finite element methods for numerical weather prediction | Colin Cotter |
| Luca Marino | Supervised learning algorithms for Hamilton-Jacobi-Bellman PDEs | Dante Kalise |
| 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 |
| Haoling Xiang | Analysis and PDEs, waves and fluids |
Michele Coti Zelati and Pierre Germain |