Matteo Salvador
Scholar

Matteo Salvador

Google Scholar ID: PJ46PfEAAAAJ
Pasteur Labs & ISI
Mathematical ModelingScientific Machine LearningUncertainty QuantificationDigital Twins
Citations & Impact
All-time
Citations
940
 
H-index
17
 
i10-index
21
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published a paper on full-field surrogate modeling of cardiac function encoding geometrical variability; Oden-Hughes award for the best paper in CMAME in the years 2022-2023; Finalist of the ECCOMAS PhD Olympiad; Winner of the MIT Critical Care Datathon.
Research Experience
  • Currently Senior Research Scientist at Pasteur Labs & ISI. Previously, a postdoctoral researcher in the Cardiovascular Biomechanics Computation Lab led by Professor Alison Marsden at Stanford University. Worked on the iHEART project aimed at creating a fully integrated human heart for accurate and efficient numerical simulation of cardiac function. One of the main developers of lifeX, a high-performance computing C++ library for multi-scale and multi-physics simulations based on the deal.II Finite Element core. Contributed to the suite of applications within SimVascular.
Education
  • PhD in Mathematical Models and Methods for Engineering from Politecnico di Milano, supervised by Professor Alfio Quarteroni; Master of Science in Computational Science and Engineering from Politecnico di Milano; Bachelor of Science in Mathematical Engineering from Politecnico di Milano.
Background
  • Research interests lie in multi-physics and multi-scale mathematical modeling, numerical methods, reduced-order modeling, and uncertainty quantification, with a focus on AI-driven, physics-informed active digital twins.
Miscellany
  • Research visits include Perlinck Lab at Technische Universiteit Delft, Cardiac Electromechanics Research Group at King's College London, and Trayanova Lab at Johns Hopkins University.
Co-authors
0 total
Co-authors: 0 (list not available)