His research focuses on the development of microphysiological systems and lab-on-chip platforms for studying cancer cell response to therapy, with a strong emphasis on machine learning, deep learning, and multimodal data analysis of cell motility and morphodynamics.
He holds a PhD in Electronic Engineering (2022), a Master’s degree in Biomedical Engineering (cum laude), and a Bachelor’s degree in Biomedical Engineering from the University of Rome Tor Vergata. He also holds a Master’s degree in Violin from the Santa Cecilia Conservatory of Music.
He is currently a postdoctoral researcher at the Bioinspired Electronic Engineering (BEE) group at the Department of Electronic Engineering of the University of Rome Tor Vergata and at the Bioengineering Laboratory (BEL) group at the Department of Biosystems Science and Engineering (D-BSSE) of the Swiss Technical University of Zurich (ETH Zurich).
He has authored more than 30 peer-reviewed publications in international journals, including Advanced Functional Materials, Scientific Reports, IEEE Transactions on Biomedical Engineering, and Communications Biology.
He is the recipient of the MSCA Global Postdoctoral Fellowship for the SYNOPSIS project.
This project has received funding from the European Union’s Framework Programme for Research and Innovation Horizon Europe (2021-2027) under the Marie Skłodowska-Curie Grant Agreement No. 101202231.