Marine ecologist and numerical oceanographer

I am a marine ecologist using numerical tools to better understand the structure and the functioning of life in the ocean.

Keywords: Marine ecology, numerical ecology, biophysical modelling, trait-based ecology, plankton.

Latest news

I am currently Visiting Professor by the GRIL — Groupe de recherche interuniversitaire en limnologie et en environnement aquatique at UQAM in Montreal for 3 months (May-July 2022). I am hosted in the laboratory of Pr. Beatrix Beisner at UQAM and I will also be visiting the Poisot lab at UdM and Frédéric Maps at the Université Laval in Québec.

Bio sketch

I studied biology, ecology and computer sciences at the École normale supérieure (ENS) in Paris from 2002 and 2006. I then did my PhD at the Station Biologique de Roscoff in marine ecology under the supervision of Eric Thiébaut (UPMC, Dec. 2010). I studied larval dispersal and connectivy of marine invertebrates using biophysical modeling, in situ observations, and statistical analyses. I then did my post-doc at the LOCEAN in Paris under the supervision of Marina Lévy and Olivier Bernard from INRIA, where I worked on the impact of phytoplankton stoichiometry and photoacclimation on primary production in the ocean.

In 2012 I was recruited as associate professor (maître de conférences) in marine ecology at Sorbonne University (SU). I worked in the COMPLEx Team at the Laboratoire d'Océanographie de Villefranche sur mer (LOV). I passed my habilitation (HDR) in June 2017. In 2018-2019 and 2019-2020, I was a visiting researcher at ISYEB thanks to two sabbatical years at the CNRS. The aim of my sabbatical was to learn on the use of genomics and next generation sequencing for plankton studies.

Since 2020, I am co-leader of the Projet-Team FORMAL, From ObseRving to Modelling oceAn Life, of the Institut des Sciences du Calcul et des Données (ISCD) of SU.

In September 2021, I joined the LOCEAN in Paris.

Main scientific interests

  • Trait-based marine ecology
  • Plankton biogeography
  • Marine ecosystem dynamics
  • Phytoplankton growth in the ocean
  • Larval dispersal and connectivity

Main tools

  • Plankton big data (mostly imaging and omics so far)
  • Multivariate statistics (PCA, RDA, MCA)
  • Statistical models, species distribution models (ENM)
  • Dynamical models (PDE, ODE)
  • Lagrangian transport models