PhD and Master thesis proposal

PhD proposal

    (co-supervision with D Bresch) Propagation and adaptation in multi-species model: mathematical analysis of systems of reaction-dispersion equations

Master proposal

    Emergence of adapting foraging: PDE and individual-based models
      The main goal of this proposal is to mathematically analyze a co-evolution model involving consumers and ressources.
    Emergence of mutulaism among Arbuscular Mychorizal Fungi: PDEs approach
      The main goal of this proposal is to mathematically analyze the emergence of the mutualism between a plant and some Arbuscular Mychorizal Fungi present in the soil.


Western Canada Math Biology Spring Workshop (2022)

    Reaction–dispersion models in ecology and evolution -- Adaptation to changing environments

    Environmental changes threaten many species and ecosystems. To assess their impacts, we use a mathematical approach based on reaction dispersion models. The first aim of my lecture is to derive relevant mathematical models with biological interpretation at different spatial and ecological scales (from individuals to metapopulations). Secondly, I will present classical and recent mathematical tools to quantify the ecological and evolutionary adaptation of species to environmental changes.

    In the first part, I will present a recent approach based on the interior dynamics of stationary states, to understand the effect of migration on survival and genetic diversity in a source-sink model. In the second part, I will investigate the effect of spatial propagation on survival and genetic diversity. First, I will derive the reaction dispersion model from the individual based model of movement. Then I will present classical and recent results on spreading phenomena in the framework of reaction-dispersion equations. I will then extend the interior dynamics approach to these models. Finally, I will discuss evolutionary adaptation of a population structured by a phenotypic trait under a changing environment. I will derive a PDE model from a stochastic model and, using the Hamilton-Jacobi approach and large deviation techniques, I will present some approximations of these models. Then, I will present a new approach to track ancestral lineages in quantitative genetic model.

Master Mathématiques et Applications, Univ Savoie Mont-Blanc (2017-)

    MATH702 - Mathematical modeling and scientific computation
  • Lecture notes
  • TP1 - Inférence de paramètres, modèle matriciel et modèle logistique
  • TP2 - Modèle logistique discret et continu et chaos
  • TP3 - Schéma d'Euler
    MATH703 - Martingales et Chaînes de Markov
  • Lecture notes
  • TDs
  • TP1 - Martingales et Chaînes de Markov
  • TP2 - Martingales et Chaînes de Markov
  • Master Science in Industrial and Applied Mathematics, Univ Grenoble-Alpes (2015-2016)

      Mathematical modeling in life science

    Groupe de Lecture, ENS Lyon (2015)

      Reaction-diffusion equations in ecology