About:

I am a PhD student in Applied Mathematics at the J. A. Dieudonné laboratory, in the Université Côte d'Azur. The subject of my work is the estimation of the functional connectivity in neuroscience via neuronal spiking and local field potential data, under the supervision of Patricia Reynaud-Bouret and Ingrid Bethus. We aim at studying the evolution of brain connectivity graphs during different types of learning experients on animals, via a ad-hoc multiscale multivariate heterogeneous autoregressive model.

Before my PhD, I was a student at Politecnico di Milano. I also was an intern at the Basque Center of Applied Mathematics in Bilbao, for the Machine Learning and the Mathematical Biology groups.