Quantitative Biology
We are a multidisciplinary team working at the interface of computational modelling and life sciences.
We bring together computer scientists, mathematicians, and biologists to develop innovative algorithms and models that integrate biological and medical data. We are driven by the need to interpret big data in biology and medicine through a systems approach — modeling cancer, genomics, and epidemiology with mathematical rigor and computational innovation.
We develop models to simulate biological mechanisms.
We build tools and workflows to analyse biological data.
We design and support infrastructures for bioinformatics.
Some of our publications
Dissecting minimal residual disease dynamics to improve outcome prediction in mantle cell lymphoma: Data from the Fondazione Italiana Linfomi (FIL)‐MCL0208 clinical trial
Cordero F., Ferrero S., Pernice S., Genuardi E., Volpatto D., Sirovich D., Civita A., Evangelista A., Ragaini S., Di Rocco A., Re A., Stefoni V., Cavallo F., Boccomini C., Balzarotti M., Zilioli V., Gomes da Silva M., Arcaini L., Celli M., Zaccaria G., Tortarolo D., Beccuti M., Hoster E., Pott C., Macintyre E., Hermine O., Dreyling M., Ladetto M.
HemaSphere (2026-04-30)
Aucello, Riccardo; Pernice, Simone; Tortarolo, Dora; Calogero, Raffaele A.; Herrera-Rincon, Celia; Ronchi, Giulia; Geuna, Stefano; Cordero, Francesca; Lió, Pietro; Beccuti, Marco
Bioinformatics (2025-03-01)
Baccega, Daniele; Terrone, Irene; Heywood, Peter; Chisholm, Robert; Richmond, Paul; Contaldo, Sandro Gepiro; Bosio, Lorenzo; Pernice, Simone; Beccuti, Marco
Simulation Modelling Practice and Theory (2025-12-01)
