Matteo Fornoni

Matteo Fornoni is a Research Fellow at the Department of Mathematical Analysis and Applications, University of Pavia. His research focuses on mathematical models for tumor growth dynamics, optimal control theory, and inverse problems in biomedical applications. He specializes in developing and analyzing partial differential equation-based models for cancer progression and medical imaging applications.

Recent work emphasizes personalized tumor forecasting, early tumor state reconstruction, and mathematical analysis of non-local models. His 2023-2025 publications demonstrate expertise in Cahn-Hilliard systems, viscous tumor growth models, and Sobolev space convergence in nonsmooth domains.

Key technical contributions include iterative algorithms for prostate cancer reconstruction, maximal regularity analysis for tumor models, and optimal control strategies for biomedical systems. Maintains active collaboration through his research group's activities.

Currently affiliated with the University of Pavia's Mathematical Analysis and Applications research group, contributing to both theoretical advancements and applied biomedical modeling challenges.