Research Scientist aka Chargé de Recherche
Mathematics, Informatics, and Statistics for Environment and Agronomy (MISTEA), INRAe.

Contact

David Métivier
david.metivier (at) inrae (dot) fr
2 Pl. Pierre Viala, 34000 Montpellier, France

Curriculum Vitae

Google Scholar profile

GitHub profile


Announcement: Internship position (posted on 06/12/2022)

We are looking for an intern (Master lever)! In short: You will be building fancy Machine Learning models (e.g., GAN, Physics Informed Machine Learning) for a real life environmental application with real data. The problem is an ecological problem (that will be most likely exacerbated by climate change). See the full announcement here.

Short Bio

I just started as a permanent researcher at INRAe Montpellier. My research interests will to use Statistical modeling (including Machine Learning approaches) and tools to tackle environmental, and climate change related questions. I am a Julia enthusiast, and I am working on a few packages (see my GitHub profile.)

I was a Postdoctoral researcher at the Centre de Mathématiques Appliquées (CMAP) of the École Polytechnique from September 2020 to 2022. I worked with Emmanuel Gobet on the resilience to climate change of the French nuclear and renewable production system. I am funded by the La chaire Énergies durables (Sustainable Energy chair). I had teaching duties in Probability and Statistics.

Previously, I was a Postdoctoral fellow at the Los Alamos National Laboratory (2017-2020). There, I was part of the Advanced Network Science Initiative (ANSI) team under Marc Vuffray and Michael (Misha) Chertkov supervision.

I did my Physics Ph.D. from October 2014 to September 2017 at the Laboratoire Dieudonné, Université Côte d’Azur. My Ph.D. advisor was Julien Barré. You can find my PhD thesis here.

Keywords Flowchart of my main research interests
Keywords flowchart of my research interests