○ PhD, Université Paris-Saclay, France, 2023

○ M.Sc., Université Paris Dauphine-PSL, France, 2020 

○ M.Sc., Institut de Mathématiques et de Sciences Physiques, Benin, 2019

○ B.Sc., University of Douala, Cameroon, 2016

I am a Postdoctoral Research Associate in Control Theory and Mathematical Neuroscience with the Brain Dynamics and Control Lab at the McKelvey School of Engineering, Washington University in St. Louis, MO, USA.

I develop control-theoretic tools to understand and steer the dynamics of large-scale brain activity. My work connects nonlinear control, dynamical systems, and mechanistic models of perception and cognition. See our primary works via arxiv, arxiv, and arxiv. 

Previously, I was a Postdoctoral Researcher in Control Theory at the Institut Polytechnique des Sciences Avancées, INRIA, and L2S in France. During that period, my research focused on prescribed exponential stabilization of delayed differential equations with applications to neural control.

In particular, we modeled Hopfield-type neurons with a delayed proportional–derivative controller to address hyperexcitability and prevent destabilizing transitions that can lead to seizure-like states in biological neurons or system failure in artificial networks; see the hal.science for details. 

I defended my PhD thesis on October 2nd, 2023, in Mathematical Neuroscience and Control Theory (visual illusions and perception) at Université Paris-Saclay in the Laboratory of Signals and Systems (L2S, UMR 8506). The manuscript is available here, and my thesis defense slides can be found here.

During my thesis journey, I studied the controllability of degenerate PDEs, and neural field dynamics with applications to the mathematical modeling of the visual MacKay effect. Selected works are DOI, DOI, hal.science, and hal.science.