Invited Speakers

Luca Dedè is an associate professor of Numerical Analysis at MOX - Department of Mathematics of Politecnico di Milano. He received his MSc degree in Aerospace Engineering from Politecnico di Milano (2004) and a PhD in Mathematical Engineering from the same institution (2008).

His research interests encompass Scientific Computing, numerical methods for multiphysics and multiscale problems, high-performance computing, Computational Mechanics, Computational Fluid Dynamics, Scientific Machine Learning, and Artificial Intelligence. Specializing in Computational Medicine of the heart and the cardiocirculatory system, he has developed groundbreaking mathematical and computational models that are revolutionizing personalized medicine, significantly advancing the understanding and clinical treatment of cardiovascular diseases.

Luca Pavarino is a full professor of Numerical Analysis at the Department of Mathematics of the University of Pavia. He received a degree in Mathematics from the University of Pavia (1987) and a PhD in Mathematics from the Courant Institute of Mathematical Sciences, NYU, USA (1992). 

His expertise includes scalable numerical methods for PDE, domain decomposition methods, parallel iterative solvers, computational cardiology, where he has been active for more than 25 years. He works on the development of high-performance cardiac simulations, scalable PDE codes and biomedical applications.

Blanca Rodriguez is a full professor of Computational Medicine, Wellcome Trust Senior Research Fellow and Head of the Computational Biology and Health Informatics Theme at the Department of Computer Science, University of Oxford. She originally trained in Engineering at the Universidad Politecnica de Valencia (MSc and PhD).

Her scientific interests focus on developing novel, interdisciplinary approaches to accelerate therapy development and eliminate the need for animal testing, achieved through collaboration with industry and regulators. Her team has been at the forefront of pioneering case studies on Digital Twins in precision medicine and In Silico Trials for therapy testing. She is deeply committed to advancing both the technical aspects of modeling and simulation, as well as the skills required to foster effective interdisciplinary and cross-sector collaborations.