Nicolas Pozin

PhD student in Applied Mathematics, LJLL – UPMC (Paris)

co-supervised by C. Grandmont and I. Vignon-Clementel

Thesis: Multiscale lung ventilation modeling in health and disease.

Contact

• Address:
  Inria Paris
  2 rue SImone Iff, 75012 Paris
  Building A, office A322
• Email:
  nicolas.pozin<at>inria.fr

Education

• 2014-2017: Ph.D. under the co-supervision of C. Grandmont and I. Vignon-Clementel. CIFRE thesis INRIA Paris & Air Liquide Healthcare, “Multiscale lung ventilation modeling in health and disease”. 
• 2009-2013:  Ecole Centrale Paris (France).

Research

I am interested in lung ventilation modeling. We developed a model in which a 0D tracheo-bronchial tree is strongly coupled to a 3D parenchyma structure. It is solved in the finite element framework. Patient-specific geometries are extracted from medical images and the lung surface evolution registered from dynamic scans is applied as boundary condition.
The model is used to study asthma and the effect of low density gas mixtures on ventilation distribution and breathing efforts.
From 4D ventilation maps, we also propose a diagnosis tool thats determines the position of broncho-constrictions within the tree. The approach uses the ventilation model enriched by machine learning techniques.

Publications

• N. Pozin, S. Montesantos, I. Katz, M. Pichelin, I.Vignon-Clementel, C.Grandmont. A tree-parenchyma coupled model for lung ventilation simulation. Int J Numer Meth Biomed Engng, 2017
• N. Pozin, S. Montesantos, I. Katz, M. Pichelin, C.Grandmont, I.Vignon-Clementel. Calculated ventilation and effort distribution as a measure of respiratory disease and heliox effectiveness. J Biomech, 2017
• N. Pozin, S. Montesantos, I. Katz, M. Pichelin, I.Vignon-Clementel, C.Grandmont. From dynamical lung ventilation data to plugs distribution in asthma – A numerical diagnosis tool . submitted, 2017