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Postdoctoral fellow in Machine Learning for Ecology, African Institute for Mathematical Sciences

It is during my PhD at Centre National de Recherche Scientifique (CNRS) in France that I discovered the world of deep learning while developing a model to automatically identify underwater behaviors of sea turtles from bio-loggers (animal-borne sensors). This experience ignited a passion within me to further enhance my expertise in deep learning, particularly in its application to conservation efforts. Currently, my research revolves around the creation of user-friendly tools based on deep learning techniques. The primary objective is to facilitate wildlife monitoring and streamline data processing in the field of ecology

Experience

  • –present
    Postdoctoral fellow in Machine Learning for Ecology, African Institute for Mathematical Sciences

Education

  • 2021 
    University of Strasbourg /Centre National de Recherche Scientifique France, PhD in Behavioural Ecology