While at AIMS, Souleymane studied in the field of artificial intelligence more specifically on a generic model of recurrent neural networks < Reservoir Computing > by applying one of these models which a particular artificial neural network composed of a randomly generated reservoir and a trainable output layer. Souleymane in my work has used the ENS to represent the ground state wave functions of quantum many-body systems where such a formalism could offer many advantages in terms of training time and the possibility of implementation on real physical devices.

Souleymane is currently a PhD student in Physics in the Astrophysics speciality at Joseph KI-ZERBO University in the Physics and Chemistry of the Environment Laboratory & the University of Montreal.