Info
Professional Career
I completed a Bachelor’s degree in Mathematics at the University of L’Aquila (Italy) in 2019, followed by a double Master’s degree in Mathematics and Applied Mathematics through a joint programme between the Università degli Studi dell’Aquila and Karlstad University (Sweden). During my Master’s internship, I developed a strong interest in mathematical modelling for biology, culminating in a thesis on elliptic partial differential equation (PDE) models for describing oxygen flux between blood vessels and tissues, work that drew on functional analysis and homogenisation techniques.
I then pursued a PhD in Computational Biology at Leiden University, where I developed a mathematical and computational framework for quantitative adverse outcome pathway (qAOP) development, grounded in ordinary differential equations (ODEs), and applied it to several case studies of interest. In March 2026, I joined the Biosystems Data Analysis group as a Postdoctoral researcher, where my work focuses on causal inference methods applied to plant microbiome omics data.
Research
My Postdoctoral research is part of the MiCRop consortium, which investigates how plant root microbiome responds to stress across a broad range of plant species. My work focuses on applying causal inference methods to multi-omics data, with the goal of identifying the key factors and mechanisms driving microbiome assembly under stress.