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
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
Luca Melzi Entropy maximization in geophysical flows Michele Coti Zelati
Muhammed Ali Mehmood Hydrodynamic models for interacting agents Ewelina Zatorska
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

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Group administrator:
Phoebe Roberts

Department of Mathematics
Imperial College London
South Kensington Campus
London SW7 2AZ
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