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.
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.