Redouane Lguensat

I am an IRD Research Engineer (permanent position) appointed at the IPSL (Institut Pierre-Simon Laplace) climate modeling center located in Sorbonne Université, Paris, France. I am often referred to as an “interdisciplinary researcher/engineer”, my work is focused on machine learning for climate modeling.

Before my current position, I received a PhD in Computer Vision from IMT Atlantique under the supervision of Ronan Fablet, my PhD thesis consisted in the use of analog methods (K-Nearest Neighbor Regression) to develop a new data-driven approach to tackle data assimilation: the Analog Data Assimilation (AnDA). In parallel to my thesis I investigated the use of deep learning methods for the segmentation of oceanic eddies from satellite-derived sea related maps.

I then decided to take a step towards the ocean modeling community and went to do two postdocs in two Physical Oceanography labs. First one funded by the CNES (French Space Agency) at MEOM-IGE with Julien Le Sommer on solving inverse problems for the SWOT altimeter. The second was funded by V. Balaji’s “Make Our Planet Great Again” grant that I did in LOCEAN-IPSL with V. Balaji and Julie Deshayes on the tuning of climate models using surrogate modeling.

I also co-founded MoroccoAI a non-profit organization that promotes AI adoption in my birth country Morocco.