redouanelg / eddynet Goto Github PK

I am interested in Machine learning for oceanic, atmospheric and climate sciences. 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.

Currently, I am a IRD Research Enginner and Statistician at the IPSL Climate Modeling Center in Sorbonne Université, Paris, France.

In my spare time, I make machine learning courses in Darija (Moroccan Arabic), check for example my collaboration with Alfihrya Academy, or other activties under the umbrella of MoroccoAI

Mail
Twitter
LinkedIn