About me
I studied Aerospace Engineering and subsequently Aerodynamics Engineering at the University of Pisa from 2016 to 2022, and worked in industry as a CFD R&D engineer, focusing on multiphase and multiphysics problems such as liquid-to-vapor phase change, conjugate heat transfer, and external fluid dynamics.
In early 2025, I joined the Institute of Process and Particle Engineering at TU Graz as a University Assistant and doctoral researcher, where I study the field of cake filtration from a fluid dynamics perspective.
Research interests
In typical industrial-scale operations of filter presses, performance is often guided by empirical correlations, making process optimization largely a trial-and-error procedure. My research aims to develop mechanistic models of cake filtration, particularly in filter press systems, to provide a more predictive understanding of its behavior.
Tools
In my studies, I combine numerical simulation and data-driven analysis of small- and large-scale filter presses with reduced-order modeling of more complex transport phenomena.
All of my scientific computation is carried out with Python's scientific computing suite (NumPy and SciPy), including all the reduced-order modeling. Data-driven modeling is also carried out in Python, using libraries such as scikit-learn adn TensorFlow/Keras.
For full-order CFD simulations, I primarily use OpenFOAM, although some mixed-order analyses are carried out in FreeFEM or in Python-based frameworks.
