I have always felt a keen interest in the tremendous advance Nature has upon us and, in how it could be mimicked to enhance our technologies. Especially concerning the human brain and its vastly underestimated power over our body. How do we learn? How do we memorize? How complex thoughts emerge from such a structure? What are the underlying mechanisms of the super-efficiency of our brains? That's why, after graduating in Applied Mathematics from Centrale Paris (newly CentraleSupélec) where I specialized in Machine Learning/Optimization/Signal processing (see detail below), I decided to spend most of my time studying brain physiology, simulation neuroscience and molecular biology in order to complete my formation. I believe that innovation blooms where diversity thrives. The entanglement of mathematics and neurosciences will be the new Eldorado of innovation.