His research interests are focused on the development of high performance mathematical and numerical models to predict geomorphological processes involving sediment transport, complex non-Newtonian behaviour and transient boundaries. He desings multi-CPU and GPU-accelerated Effcient Simulation Tools (EST) with direct application to sediment transport in rivers and coastal areas, highly-erosive floods, dam breachs, debris flows and muddy slurries, oil spills and lava flows.

Her activity is mainly focused on the development of numerical methods for the simulation of unsteady surface flows. With a background focused on High Performance Computing applied to 2D models for flood simulations, she is now researching new models for oil spills in coastal flows. Some of her work is oriented towards two-layer models to simulate both oil and water, while other research is carried out to analyze the importance of non-hydrostatic terms in representing these coastal flows.

His research activity focuses on the implementation of reduced-order models (ROM) based on the proper orthogonal decomposition (POD) method and with application to transport equations. An alternative ROM capable of predicting solutions beyond the training time has been developed, thus overcoming one of the major limitations of the POD method. He is also interested in  the study oh the performance of high-order schemes, such as WENO schemes, via spectral analysis in the framework of iLES methods.

His research activity is focused on the formulation of 1D junctions of flows as inner boundary conditions in order to simulate large networks as efficiently as possible. This is applied both to shallow free-surface flows in hydrodynamic settings and to the human vascular system, with special attention to the venous system and the sonic flow transitions that may occur in it.