B.S. in Mathematics, Università degli Studi di Milano, 2013
M.S. in Mathematics, Freie Universität Berlin, 2016
Ph.D. in Mathematics, Freie Universität Berlin, 2020
Thesis: “Sensitivity of metabolic networks”, advisor: Bernold Fiedler
Postdoc at Freie Universität Berlin 2020-2022
AG Nonlinear dynamics
Postdoc at IZBI, Leipzig Universität 2023, Walter-Benjamin program of DFG
I am a mathematician interested in biological applications. I study networks of interacting populations, as biochemical networks or prey-predator systems. I focus on dynamical phenomena such as stability of equilibria, multistationarity, and the insurgence of oscillations. I try to understand the network motifs that possibly indicate such phenomena.
The goal of the project is to find structural network conditions for the occurrence of zero-eigenvalue bifurcations.
The motivation is finding new efficient ways to detect multistationarity and oscillations, which are features of great importance for biochemical networks. Multistationarity is the property of a chemical system to exhibit two or more distinct steady-states (equilibria), co-existing under otherwise identical conditions. The phenomenon has been proposed as an explanation for many epigenetic processes, including cell differentiation. Oscillations are crucial in the regulation of metabolic processes, circadian rhythms, and other important biological functions. Mathematically, both multistationarity and oscillations may appear as a consequence of bifurcation phenomena involving a zero eigenvalue of the Jacobian of the system, at an equilibrium.
More specifically, for ODEs systems arising from chemical reaction networks, this project addresses
aiming at necessary and sufficient network conditions that guarantee the occurrence of such bifurcations. The ultimate goal is finding biochemically meaningful network motifs that indicate a possible bifurcation behavior and using established kinetic models to explicitly find bifurcations in relevant biochemical networks.