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About me

I graduated from Politecnico of Milan (Italy) with a BSc in Mathematical Engineering in 2013 and a MSc in Computational Science and Engineering in 2016. In September 2019 I obtained a PhD in applied mathematics at the University of Strasbourg (IRMA) in France. After my PhD I worked as Reseach Associate at the Department of Mathematics of Imperial College London (UK) for one year and as postdoctoral researcher within the SIMBIOTX team at the Inria Research Center in Saclay (France) for two years.
I currently hold a position as Junior Research Scientist (CRCN) at INRAE in Jouy-en-Josas (France).

My main passion is the synergy between applied mathematics and life sciences, in particular related to biological fluids modelling.
The focus of my research is sensitivity analysis of multiscale computational models representing complex biological systems exploiting the power of high performance computing.

For my master thesis, entitled A Cellular Scale Model of Aqueous Humour Production, I was initiated to research in ophthalmology, which I pursued in my PhD thesis by developing mathematical models to simulate ocular blood flow, metabolism and their interactions.
The topic of the research of my post doc at Imperial College focused on an agent-based mathematical model describing the multiscale sperm-mucus interaction via advanced numerical and computational tools.
My work as post-doc at INRIA aimed at implementing a sensitivity analysis on a liver hemodynamics model, towards the use such a model to give patient-specific complementary information dedicated to surgical interventions in the liver.
My current research focuses on the host-microbiota relationship, in particular to develop a gut digital twin to study the human and animal digestive microbiota.

Employment

• January 2023 - present Junior Research Scientist (CRCN) at INRAE.
  Research unit: MaIAGE (Mathématiques et Informatique Appliquée du Génome à l’environnement).
  Research team: Dynenvie - Dynamic and statistical modelling for ecosystems, epidemiology and agronomy.

• October 2020 - December 2022 post-doc at INRIA Saclay Ile-de-France
  Project: modelling of hemodynamics in the entire circulation for targeted surgical interventions in the liver.
  Mentor: I. Vignon-Clementel

• 2020 - 2021: collaboration as consultant for Gspace LLC
  Gspace LLC is a consulting company in computational modeling for smart solution in engineering and life sciences.
  Project: modelling the structural reaction of mattress to body weight.

• November 2019 - October 2020: Research Associate at Imperial College London
  Project: modelling sperm-mucus interactions across scales: apply advanced mathematical modelling and computational techniques to understand the motion of sperm cells through the heterogeneous environments they encounter during mammalian reproduction.
  Mentor: P. Degond

• May - September 2016: Engineer researcher at the Université de Strasbourg
  Project: Eye2Brain: study and implement innovative mathematical and physiological models to investigate the connection between the eye and the brain.
  Mentors: C. Prud'homme, G. Guidoboni

Qualifications

• 2020: Qualified for the functions of "Maître de conférences".
  French qualification required in order to apply for Lecturer positions.

• 2016 - 2019: PhD in Applied Mathematics at Université de Strasbourg
  Thesis: "Modélisation mathématique et simulation de flux sanguins oculaires et leurs interactions"
  Advisors: C. Prud'homme, G. Guidoboni, M. Szopos

• 2013 - 2016: MS in Mathematical Engineering at Politecnico di Milano
  Thesis: "A Cellular Scale Model of Aqueous Humour Production"
  Advisors: R. Sacco, A.G. Mauri, G. Guidoboni

• 2010 - 2013: BS in Mathematical Engineering at Politecnico di Milano
  Final Presentation: "Decision Support System per il design di un'area sciistica"
  Advisor: F. Malucelli

Teaching

• Undergraduate course Mathématique I. Lecture series and marking.
  Review of the mathematics studied at high school for 1st year undergraduate students in Biology.
  Université de Strasbourg, A.Y. 2017-2018 and 2018-2019.

• Undergraduate course Algorithme et Programmation en C++. Exercise series, exam preparation and marking.
  Practical (Computed-based) lessons on algorithms and coding in C++ for 3rd year undergraduate students in Mathematics.
  Université de Strasbourg, A.Y. 2018-2019.

• Student supervision:

  • J. Kowalski, Whole body vascular transport model and applications to human liver diseases. INRIA, 2022.
  • L. Thiebaud, Mathematical modeling of human liver hemodynamics. INRIA, 2021.
  • T. Saigre, Mathematical modeling, simulation and reduced order modeling of ocular blood flows and their interactions: Building the Eye’s Digital Twin. Université de Strasbourg, 2021
  • G. Kim-J. Liu-Z. Sun-B. Xiao, Self-propelled particles moving through obstacles: analytical and numerical study. Imperial College, 2020
  • A. Walczak. Models of Swarmalator Pursuit and Self-Organisation. Imperial College, 2020
  • N.M. Marazzi. Ballistocardiography: physically-based modeling to bridge physiology and technology University of Missouri, 2019

Code development

• LifeV, 2015.
  LifeV is a C++ finite element (FE) library providing implementations of state of the art mathematical and numerical methods.
  I contributed in the development of the numerical method Hi-POD as reduced method for flow in vessels.

• FEMOS-MP, 2016.
  FEMOS-MP is a C++ platform for the simulation of complex multiphysics systems including thermomechanical effects, chemical reactions and kinetics, semiconductors, and unconventional materials in the continuum framework and using atomistic kinetic Monte Carlo methods.
  I contributed in the development of the adaptation of the code from the semiconductor use to biological aim, in particular for the ionic channel model.

• Feel++, 2016-2019.
  Feel++ is a powerful, expressive and scalable finite element embedded library in C++.
  I contributed in the development of the Hybridizable Discontinuous Galerkin library for porous media model and elasticity with all the features, including the interface with the freeware OpenModelica and the static condensation technique.

• Lumpedflow, 2020-2022.
  The code LumpedFlow contains a collection of forward and inverse mathematical models (ODEs) for biomedical applications including lumped parameter models of the entire blood circulation and pharmacokinetic models.
  I contributed in the development and upgrade of the C and Python libraries involving the human liver virtual hepatectomy model and the sensitivity analysis tools.