Hi there! I am Francesco A.B. Silva, a Postdoctoral Researcher in the Department of Nuclear Engineering at Texas A&M University and a Research Fellow in the TAMIDS Digital Twin Lab.
My research focuses on developing uncertainty-aware computational methods for digital twins of complex multiphysics systems, with particular emphasis on nuclear engineering and neutron transport. I work at the intersection of reduced-order modeling, multiscale methods, data assimilation, and optimal experimental design, developing methods for reliable state and parameter estimation, model calibration, sparse reconstruction, and sensor placement. More recently, I have been exploring generative models, including flow matching and diffusion models, for inverse problems and uncertainty-aware reconstruction.
Research interests
- Reduced-order modeling on linear subspaces and nonlinear manifolds
- Operator inference and data-driven reduced modeling
- Multiscale methods for parametrized and heterogeneous PDEs
- Data assimilation, inverse problems, and model calibration
- Sparse state reconstruction and optimal sensor placement
- Nuclear digital twins and multiphysics modeling
- Generative methods for inverse problems and uncertainty-aware reconstruction
Quick links
Contact
- Email: francesco.silva [at] tamu [dot] edu