About

I am a CNRS senior research scientist in the field of Computational Oceanography. I am working at the Institute of Environmental Geosciences in Grenoble (France), where I am co-leading the OPERA group and the PING platform.

I am involved in the development of the NEMO ocean/sea-ice model, as the co-chair the NEMO working group on Machine Learning and Model Uncertainties. I am also involved in the PEPR TRACCS program and the SWOT Science Team.

My main interest is in ocean fine scale processes, namely oceanic processes with scales < 200km. I am curious about how they can be observed from space, how they affect large-scale ocean circulation and climate and how they can be represented in ocean models and prediction systems. My research is mostly focused on ocean fine scale processes at mid and high latitudes.

My work focuses on designing and leveraging numerical tools for better observing and modelling ocean circulation over a range of different space and time scales. I am trying to explore how machine learning and differentiable programming could help us better understand ocean circulation and climate.

I believe that software plays an essential role in scientific undertakings, this is why I consider developping open scientific research codes and software to be an integral part of my research. I am excited with the on-going transition towards more scientific reproducibility in all the fields of modern science. I agree with the reproducibility PI manifesto by Lorena Barba. I endorse the science code manifesto. I am a member of NumFOCUS (open code = better science).