Luca Pavarino

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms.

His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics.

Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine.

Notable contributions include:

• Development of BDDC/FETI-DP preconditioners for cardiac models
• Integration of machine learning with cardiac electrophysiology
• High-performance computing for multiphysics systems (Biot’s consolidation, protein stability)

Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.