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 twinning of complex multiphysics systems, especially in nuclear engineering and neutron transport. I work at the intersection of reduced-order modeling, data assimilation, and optimal experimental design, with an emphasis on reliable state/parameter estimation and model calibration. More recently, I’ve been exploring generative models, notably flow matching and diffusion models, as tools for inverse problems and uncertainty-aware reconstruction.
Research interests
- Reduced-order modeling (RB, non-intrusive / semi-intrusive surrogates)
- Ensemble Kalman methods for data assimilation and inversion
- Digital twins, model calibration, and uncertainty quantification
- Optimal experimental design and sensor placement
- Multi-physics and neutron transport applications
- Generative approaches to inverse problems (flow matching, diffusion models)
Quick links
Contact
- Email: francesco.silva [at] tamu [dot] edu