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About me

I am currently a PostDoc researcher working with Karen Veroy-Grepl within the Computational Science team. In my research I aim to integrate reduced order model technics in a data assimilation context.

Between Oct. 2019 and Feb. 2023 I was a PhD. student in the team Modélisation Stochastique et Numérique under the supervision of Stéphanie Salmon. My thesis is about numerical models of fluid flows in the cerebral compartment and it was funded by the ANR project HANUMAN (18-CE45-0014-01).

Research interst

• Model Order reduction
• Data assimilation
• Finite Element Method

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Scientific work

Papers

• Accurate Cerebral Venous Blood Flow Simulations Compared to Real Data P. Mollo, G. Dollé, S. Salmon. and O. Balédent (2024)
• A component-based data assimilation strategy with applications to vascular flows
  D.Q. Bui, P. Mollo, F. Nobile and T. Taddei. (2023)
• Cerebral Venous Blood Flow Model Enhanced with Flow-MRI Data Assimilation
  P. Mollo, G. Dollé, S. Salmon. and O. Balédent (2022)

Other

• Coupling 2D/3D fluid models with 0D Windkessel model via boundary condition
  P. Mollo (2024)
• Développement et analyse du modèle numérique du système crânio-spinal\ P.Mollo, PhD. Thesis (2023)
• Introduction aux Bases Réduites
  P. Mollo, Master thesis (2019)
• Simulation de la diffusion de la lumière avec la méthode de Monte-Carlo
  P. Mollo, internship report (2018)

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More

Programmation and code

Communications

Teaching activity

Galery

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