I'm currently a Research Scientist at Autodesk Research in London under the supervision of Dr. Nathan Kutz.
I hold a PhD from Politecnico di Milano (ERMETE-Lab), where I focused on bridging the gap between Nuclear Engineering and Scientific Machine Learning under the supervision of Prof. Antonio Cammi.
- π Reduced Order Modelling and Data Assimilation
- π Scientific Machine Learning for Multi-Physics simulation (e.g., Nuclear Reactors)
- π¬ Nuclear Reactor Modelling
- π Computational Fluid Dynamics
- π’ Numerical Methods for Nuclear Engineering
If you're interested, check out these routines and packages:
| Name | Description |
|---|---|
| XLB | π§ Accelerated Lattice Boltzmann for Physics-based ML |
| pyforce | π Python framework for data-driven model order reduction of multiphysics problems |
| NuSHRED | β‘ Shallow Recurrent Decoder for Nuclear Reactor applications |
| pyISFenix | π¬ Python framework for the Incompressible SchrΓΆdinger Flow using FENICSx |
| OFELIA | βοΈ OpenMC-FEniCSx-based multiphysics tutorial |
| ROM4FOAM | βοΈ Reduced Order Modelling techniques for OpenFOAM-v6 |
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π§ Email:
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π Connect with me: