Mamady Nabé
About Me
I am a Young PI and Computer Scientist interested in understanding the neural mechanisms of human communication. My work sits at the intersection of computational modeling, cognitve science and systems neuroscience, with a specific focus on how the brain navigates the complexities of speech.
Research Journey
My academic foundation began with a PhD in Computer Science, where I developed Bayesian models of speech segmentation inspired by neural oscillations. This work was conducted under the supervision of Dr. Julien Diard (LPNC lab@Grenoble) and Dr. Jean-Luc Schwartz (Gipsa lab@Grenoble).
Driven by a desire to ground these models in biological reality, I pursued a Postdoc supervised by Prof. Pierre Mégevand (Human Neuron lab@UniGe) and Prof. Timothée Proix (Neural Dynamics lab@ETHZ). During this time, I investigated the neural mechanisms of speech processing by leveraging large-scale, long-form recordings of intracranial EEG (iEEG) data.
Current Focus
Currently, as a Young PI, I lead research efforts to understand the neural mechanisms of adaptive speech planning in natural conversations. My work integrates computational modeling, AI, and neural recordings to understand how the human brain plans and executes speech in real-world, ecological settings.