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Matteo Salvador | Pasteur Labs & ISI

Matteo Salvador
Simulation Intelligence Scientist
Pasteur Labs & ISI

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About me

I am currently Research Scientist at Pasteur Labs & ISI. My research interests lay in multi-physics and multi-scale mathematical modeling, numerical methods, reduced-order modeling and uncertainty quantification, with a focus on Artificial Intelligence-driven, physics-informed active digital twins.

Previously, I was postdoctoral researcher in the Cardiovascular Biomechanics Computation Lab led by Professor Alison Marsden at Stanford University. I completed my PhD in Mathematical Models and Methods for Engineering at Politecnico di Milano under the supervision of Professor Alfio Quarteroni. I worked in the framework of iHEART, whose aim is to create a fully integrated human heart for the accurate and efficient numerical simulation of cardiac function. I received my Master of Science in Computational Science and Engineering and my Bachelor of Science in Mathematical Engineering from Politecnico di Milano.

I am 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. I also contributed to the suite of applications within SimVascular.

Technical skills

Multi-scale and Multi-physics Mathematical Modeling, Scientific Machine Learning, Digital Twins

  • Extensive background in Applied Mathematics, Statistics and Computational Medicine

  • Thorough knowledge of C++, Python and Julia for Scientific Computing and Machine Learning

  • Solid experience with different Machine Learning libraries, including Tensorflow, JAX, PyTorch and Flux

  • Proficient in high-performance computing and large-scale numerical simulations

Conferences & invited seminars

  • CardioVascular Biomechanics seminar (invited), Technische Universiteit Delft (July 9th, 2024)

  • Fickle Heart: The intersection of UQ, AI and Digital Twins (invited), University of Cambridge (June 3rd-4th, 2024)

  • Uncertainty Quantification seminar (invited), Sandia National Laboratories (April 3rd, 2024)

  • CRUNCH Seminar (invited), CRUNCH group, Brown University (March 22nd, 2024)

  • Machine Learning Seminar (invited), Trayanova Lab, Johns Hopkins University (January 31st, 2024)

  • Advances in Computational Mechanics (invited), Austin (October 22nd-25th, 2023) 

  • ECCOMAS Young Investigators Conference (invited), Porto (June 19th-21st, 2023)

  • Cardiac Physiome Workshop, Irvine (April 24th-26th, 2023)

  • MATHMOD, Vienna (July 27th-29th, 2022)

  • Young People for Math (invited), Brescia (June 27th-28th, 2022)

  • ECCOMAS Congress, Oslo (June 5th-9th, 2022)

  • COLIBRI Workshop (invited), Graz (February 14th-15th, 2022)

  • Young MNCM (invited), Pavia (December 14th, 2021)

  • SIMAI2020+2021, Parma (August 30th-September 3rd, 2021)

  • MCF Congress, Milan (July 1st-3rd, 2021)

  • WCCM-ECCOMAS Congress, Paris (January 11th-15th, 2021)

  • MCF Congress, Milan (August 31st-September 2nd, 2020)

  • VPH Conference, Paris (August 24th-28th, 2020)

  • Mathematical and Computational Aspects of Machine Learning, Pisa (October 7th-11th, 2019)

  • RISM Congress, Varese (July 22nd-24th, 2019)

Research visits

  • Perlinck Lab, Technische Universiteit Delft (July 2024)

  • Cardiac Electromechanics Research Group, King's College London (September-December 2022)

  • Trayanova Lab, Johns Hopkins University (February-July 2020)

Awards

  • Oden-Hughes award for the best paper in CMAME in the years 2022-2023 (March 21st, 2024)

  • Finalist of the ECCOMAS PhD Olympiad, Porto (June 19th-21st, 2023)

  • Winner of the MIT Critical Care Datathon, Milan (February 1st-3rd, 2019)

Publications

Full-field surrogate modeling of cardiac function encoding geometrical variability

E. Martinez, B. Moscoloni, M. Salvador, F. Kong, M. Peirlinck, A. L. Marsden

arXiv preprint (2025)

Two New Calibration Techniques of Lumped-Parameter Mathematical Models for the Cardiovascular System

A. Tonini, F. Regazzoni, M. Salvador, L. Dede', R. Scrofani, L. Fusini, C. Cogliati, G. Pontone, C. Vergara, A. Quarteroni

International Journal for Numerical Methods in Engineering 126, e7648 (2025)

A Novel LSTM and Graph Neural Networks Approach for Cardiovascular Simulations

A. Iacovelli, L. Pegolotti, M. Salvador, E. Stoppa, M. D. Santambrogio, A. L. Marsden

Internation Conference on Biomedical and Health Informatics (2024)

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

M. Salvador, M. Strocchi, F. Regazzoni, C. Augustin, L. Dede', S. Niederer, A. Quarteroni

npj Digital Medicine 7, 90 (2024)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology

M. Salvador, A. L. Marsden

arXiv preprint (2024)

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

F. Regazzoni, S. Pagani, M. Salvador, L. Dede', A. Quarteroni

Nature Communications 15, 1834 (2024)

Digital twinning of cardiac electrophysiology for congenital heart disease

M. Salvador, F. Kong, M. Peirlinck, D. W. Parker, H. Chubb, A. Dubin, A. L. Marsden

Journal of The Royal Society Interface 21 (2024)

Branched Latent Neural Maps

M. Salvador, A. L. Marsden

Computer Methods in Applied Mechanics and Engineering 418, 116499 (2024)

NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds

A. Zanoni, G. Geraci, M. Salvador, K. Menon, A. L. Marsden, D. E. Schiavazzi

arXiv preprint (2024)

Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques

A. Zanoni, G. Geraci, M. Salvador, K. Menon, A. L. Marsden, D. E. Schiavazzi

Computer Methods in Applied Mechanics and Engineering 429, 117119 (2024)

An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation

E. Zappon, M. Salvador, R. Piersanti, F. Regazzoni, L. Dede', A. Quarteroni

Computer Methods in Applied Mechanics and Engineering 427, 117077 (2024)

A modular framework for implicit 3D-0D coupling in cardiac mechanics

A. L. Brown, M. Salvador, L. Shi, M. R. Pfaller, Z. Hu, K. E. Harold, T. Hsiai, V. Vedula, A. L. Marsden

Computer Methods in Applied Mechanics and Engineering 421, 116764 (2024)

lifex-ep:  a robust and efficient software for cardiac electrophysiology simulations

P. C. Africa, R. Piersanti, F. Regazzoni, M. Bucelli, M. Salvador, M. Fedele, S. Pagani, L. Dede', A. Quarteroni

BMC Bioinformatics 24, 389 (2023)

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

M. Salvador, F. Regazzoni, L. Dede', A. Quarteroni

Computer Methods and Programs in Biomedicine 231, 107402 (2023)

A matrix-free high-order solver for the numerical solution of cardiac electrophysiology

P. C. Africa, M. Salvador, P. Gervasio, L. Dede', A. Quarteroni

Journal of Computational Physics 478, 111984 (2023)

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

M. Fedele, R. Piersanti, F. Regazzoni, M. Salvador, P. C. Africa, M. Bucelli, A. Zingaro, L. Dede', A. Quarteroni

Computer Methods in Applied Mechanics and Engineering 410, 115983 (2023)

3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics

R. Piersanti, F. Regazzoni, M. Salvador, A. Corno, L. Dede', C. Vergara, A. Quarteroni

Computer Methods in Applied Mechanics and Engineering 391, 114607 (2022)

A machine learning method for real-time numerical simulations of cardiac electromechanics

F. Regazzoni, M. Salvador, L. Dede', A. Quarteroni

Computer Methods in Applied Mechanics and Engineering 393, 114825 (2022)

The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia

M. Salvador, F. Regazzoni, S. Pagani, L. Dede', N. Trayanova, A. Quarteroni

Computers in Biology and Medicine, 105203 (2022)

A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation

F. Regazzoni, M. Salvador, P. C. Africa, M. Fedele, L. Dede', A. Quarteroni

Journal of Computational Physics 457, 111083 (2022)

Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia

M. Salvador, M. Fedele, P. C. Africa, E. Sung, L. Dede', A. Prakosa, J. Chrispin, N. Trayanova, A. Quarteroni

Computers in Biology and Medicine 136, 104674 (2021)

Presence of left atrial fibrosis may contribute to aberrant hemodynamics and increased risk of stroke in atrial fibrillation patients

N. Paliwal, R. L. Ali, M. Salvador, R. O'Hara, R. Yu, U. A. Daimee, T. Akhtar, P. Pandey, D. D. Spragg, H. Calkins, N. Trayanova

Frontiers in Physiology 12, 684 (2021)

Multipatch isogeometric analysis for electrophysiology: simulation in a human heart

M. Bucelli, M. Salvador, L. Dede', A. Quarteroni

Computer Methods in Applied Mechanics and Engineering 376, 113666 (2021)

A computational study of the electrophysiological substrate in patients suffering from atrial fibrillation

S. Pagani, L. Dede', A. Frontera, M. Salvador, L. R. Limite, A. Manzoni, F. Lipartiti, G. Tsitsinakis, A. Hadjis, P. Della Bella, A. Quarteroni

Frontiers in Physiology, 927 (2021)

Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks

M. Salvador, L. Dede', A. Manzoni

Computers & Mathematics with Applications 104, 1-13 (2021)

An intergrid transfer operator using radial basis functions with application to cardiac electromechanics

M. Salvador, L. Dede', A. Quarteroni

Computational Mechanics 66, 491-511 (2020)

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