Mónica Silva is a Computational Fluid Dynamics (CFD) researcher at the University of Porto and part of the CEFT research group (now integrated into ALICE). She holds a Ph.D. in Chemical and Biological Engineering from FEUP. Her Ph.D. work focused on using CFD to study the hydrodynamic features of Slug flow for both macro and micro-scales and its potential applications in medical devices. In addition, she also studied the effect of this type of flow on two mass-transfer mechanisms: soluble wall-liquid and bubble-liquid. She was part of the project NewPHYMOIL as a postdoctoral researcher where her main tasks concerned improving CFD tools to allow a detailed prediction of multiphase flows. Now, she is doing some experiments on the segmentation of experimental data of bubbly flow (images) using AI technologies. The main goal is to be able to detect and interpret the two-phase flow represented in an image automatically. She is also part of the project MultiBlood where her contribution lies in performing numerical studies and helping in image treatment using AI methods. She has authored several papers (seven as first author), having her work published in Q1 journals, and has participated in international conferences. Her main research interests lie in multiphase flows - both macro and micro scale, transport phenomena, and different CFD techniques (using commercial and free software solutions). Recently, her interests also extend to the application of Artificial Intelligence to study the hydrodynamics of two-phase flow.