Coming from a background in bioinformatics, my doctoral work focuses on the use of artificial intelligence (AI) , and in particular image generative techniques, to study the behavior of Mandrills (Mandrillus sphinx) via the Mandrillus Project (http://www.projetmandrillus.com/).
The idea is to understand and experimentally verify the role of facial similarity in mate selection. In order to control the confounding factors inherent to correlative studies, I will set up experimental studies presenting several artificially generated images (with GANs - Generative Adversarial Networks) varying according to a same variable to a population of Mandrills in Gabon, to test several hypotheses.
In addition to that, I am working on more fundamental aspects of cognitive science concerning the links between neural fluency and beauty perception in the brain.
Generally speaking, I am as much interested in the applications of AI to solve scientific problems as in the more fundamental and innovative aspects of its functioning.
More information on Linkedin: https://www.linkedin.com/in/nicolas-dibot-203385178/