Damiano Lombardi

Damiano Lombardi

IMGP0552

Contact me: Damiano Lombardi, INRIA Paris, 2 rue Simone Iff, 75012 Paris

Email: damiano.lombardi@inria.fr

Current Position: Inria Research Scientist, (Chargé de Recherche Inria, CR).

Scientific Interests: My research focuses on two main axes: one, methodological, studying numerical methods for data assimilation and high-dimensional problems, the other oriented on realistic applications, in particular cardiac electrophysiology, safety pharmacology, flow reconstruction from medical imaging and micro-circulation in arterioles.

Current projects:

  • High-dimensional problems:
  1. with V. Ehrlacher, O. Mula, L. Grigori and M. Fuente we are studying tensor methods for high-dimensional problems (ANR ADAPT).
  2. with Miguel Fernández and Sébastien Riffaud we are working on parametric PDE solvers, with direct application to Bayesian inverse problems and UQ.
  3. with Philippe Moireau and Gaël le Ruz we are investigating the theory and numerics of Kalman filter in infinite dimensional constrained spaces.
  • Data assimilation in haemodynamics:
  1.  with J.-F. Gerbeau, O. Mula, F. Galarce, we have been working on optimal reconstruction of 3D flows from ultrasound Doppler imaging.
  2.  with M. Fernandez, M. Boulakia, N. Mihai we are currently working on several topics enabling full fluid-structure interaction calibration from 4d-flow MRI data.
  3. with A. Lefieux, M. Fernandez, M. Vidrascu, F. Vergnet we are working on PPG signal modelling and related inverse problems.
  • Data assimilation in safety pharmacology (Inspire):
  1. with M. Boulakia, H. Liu, C. James we are working on interaction between statistical learning and physical based modelling for safety pharmacology.
  2. with M. Fernández, M. Vidrascu, S. Costa we are working on the mathematical modelling and inverse problems on the mechanics of arterial walls and how it is affected by different molecules.

Publications: click here 

External Collaborations:

  • V. Ehrlacher (https://team.inria.fr/matherials/team-members/virginie-ehrlacher-galland/)
  • O. Mula (https://www.tue.nl/en/research/researchers/olga-mula-hernandez)
  • S. Pant (Swansea University, http://www.swansea.ac.uk/staff/engineering/s.pant/)
  • P. Moireau (https://pages.saclay.inria.fr/philippe.moireau/)
  • E. Maitre (LJK Grenoble, http://www-ljk.imag.fr/membres/Emmanuel.Maitre/)
  • Inria ALPINE (https://team.inria.fr/alpines/)

Phd students:

  • Corrie James, starting on 10/2023, working on statistical learning/modelling interaction.
  • Gaël le Ruz, started on 09/2022, working on theory of Kalman filter in infinite dimensional spaces.
  • Haibo Liu, started on 09/2020, working on data assimilation for safety pharmacology applications.
  • Sara Costa, started on 09/2020, working on the mathematical modelling of the drugs impact on the haemodynamics.
  • Maria Fuente, started on 03/2020, working on tensor methods for high-dimensional problems.
  • Mocia Agbalessi, started on 04/2019, working on fluid-structure interaction and 4D-MRI.
  • Fabien Raphel, started on 03/2019, working on inverse problems for cardiac electro-physiology and safety pharmacology.
  • Felipe Galarce: started on 12-2017. We are currently working on 3D reconstruction of flows from Doppler imaging.
  • Matteo Aletti:  defended in 05-2017. With Matteo, we  worked on retinal micro-circulation modeling, fluid structure interactions and model reduction.
  • Eliott Tixier: defended in 12-2017. With Eliott we worked in Uncertainty Quantification applied to the electro-physiology of the heart.

Teaching:

  • TD, linear algebra, physics and chemistry, U-PSUD, 03/2014
  • Lectures and TP, Numerical Methods, Robotics Engineering, M1, Paris Polytech, UPMC, from 2014 to 2018
  • Lectures, Analysis and Scientific Computing, L3, ENPC, from 2017 to 2019
  • Seminars to ENPC on several topics of model-order reduction and simulation, from 2017 to 2023,
  • Mini-lectures on cardiac electro-physiology, M1, Ecole des Mines Paristech, from 2019 to 2023
  • TP and TD, Foundation of numerical methods, M1, Sorbonne Université, from 2021 to 2023
  • Lectures, Numerical methods for PDEs, M2, Sorbonne Université, 2022.

Short CV:

  • Born: 22-04-1984, Brescia, Italia.
  • 2006: B.Sc. Aerospace Engineering, Università degli Studi di Pisa. “Numerical stabilization of Burgers turbulence“, mark: 110/110, cum laude.
  • 2007: B.Sc. Industrial Engineering, Scuola Superiore Sant’Anna di Studi Universitari e di Perfezionamento. “Modeling a new class of piezo-electric micro-actuators“, mark: 100/100, cum laude.
  • 2008: M.Sc. Aerospace Engineering, Università degli studi di Pisa, “Numerical study of subcritical stability in shear flows“, mark: 110/110, cum laude.
  • 2009: M.Sc. Industrial Engineering, Scuola Superiore Sant’Anna di Studi Universitari e di Perfezionamento. “Model Reduction to describe cellular population dynamics“, mark: 100/100, cum laude.
  • 2011: Ph.D. under the supervision of A.Iollo and T.Colin, Université Bordeaux 1, IMB. “Problèmes inverses pour les modèles de croissance tumorale“. Defended in Bordeaux, 09-09-2011. mention: très honorable.
  • 2011-2013: Post-Doc, Inria Paris Rocquencourt, Reo team. Work on inverse problems for 1D hemodynamics and model reduction by approximated Lax pairs
  • 2013-present: Research Scientist, Chargé de Recherche, Inria.

Comments are closed.