Team

Federica Caselli (Lab Head) is an Associate Professor of Bioengineering at the University of Rome Tor Vergata. She holds dual M.Sc. degrees in Medical Engineering (2006) and Mathematics (2008), as well as a Ph.D. in Biomechanics (2013) − a multidisciplinary background that shapes her scientific approach. Her research focuses on developing innovative lab-on-a-chip devices for diagnostics and life sciences, with a particular emphasis on microfluidic impedance cytometry. She explores advanced solutions for single-cell biophysical phenotyping and manipulation, leveraging model-based device design and cutting-edge signal processing techniques. Her recent work emphasizes multifunctional platforms and the integration of neural-network-based data analytics.

Riccardo Reale is a Tenure-Track Researcher in Bioengineering at the University of Rome Tor Vergata. He received his PhD in Electronics and Computer Science from the University of Southampton in 2018. His research centers on the design and integration of microfluidic systems for single-cell analysis. His work bridges electronics, photonics, and biomedical engineering to develop high-performance lab-on-chip platforms for medical diagnostics, with a particular focus on cancer and leukemia. He also applies artificial intelligence and advanced signal processing to enable robust, real-time data analysis, device optimization, and automated operation of microfluidic systems.

Paolo Bisegna serves as Professor of Mechanics of Materials and Structures at the Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, and as Director of the Structural Engineering Doctoral Program. He received the M.Sc. degree in Engineering, the M.Sc. degree in Mathematics, and the M.D. degree. His research interests include lab-on-a-chip devices, biomechanics, mechanics of materials and structures.

Cristian Brandi (PhD student) received his M.Sc. in Medical Engineering in 2022. His research interests include the design, implementation, and testing of lab‑on‑a‑chip devices for the characterization and manipulation of single cells and particles. His work focuses on electro‑optical sensing and on active sorting using dielectrophoresis or piezoelectric actuators. His approach is highly interdisciplinary, combining numerical modeling, signal processing, and data analysis techniques.

Marta Righetto (PhD student) holds an M.Sc. in Biomedical Engineering from Politecnico di Milano (2023). Her research focuses on designing and developing microfluidic systems for the non‑invasive monitoring of cells and bioconstructs, for example during growth or after drug exposure. By combining dielectric spectroscopy with deep learning, her interdisciplinary work aims to advance innovative solutions for personalized precision medicine.