In 2018, Mamady Nabé completed an engineering diploma at Grenoble-INP Phelma and an MSc in Data Science at Grenoble-INP Ensimag. He went on to work in the industry for one year as a Research Engineer developing Machine Learning solutions for predictive maintenance in the HPC domain at Bull Atos.

He then started a PhD in November 2019 at the University of Grenoble Alpes that he completed in 2023, where he developed a computational model of speech perception with a biologically inspired temporal treatment combining a bottom-up speech envelope processing (inspired by neural oscillatory principles) and a top-down temporal prediction.

In February 2023, Mamady Nabé joined the University of Geneva as a postdoctoral scientist working on understanding how the human brain produces and perceives speech.

Blog: https://mamadyonline.github.io/