"Complex systems often hide surprisingly simple mechanisms. My research aims to uncover them."
I am an aspiring macroeconomist with a strong interest in monetary economics and forecasting-nowcasting. My long-term goal is to pursue a PhD in Macroeconomics and build an academic career focused on research and policy-relevant economic analysis.
To strengthen both my theoretical and quantitative background, I deliberately chose to pursue two master's degrees. After graduating with highest honours from the University of Catania, I enrolled in the Master's in Economics and Finance at the Barcelona School of Economics, where I specialized in macroeconomics, forecasting, econometrics and advanced graduate-level quantitative methods.
Throughout my academic journey, I have consistently sought intellectually challenging opportunities—from advanced graduate coursework to research collaborations and independent projects combining economic theory, econometrics and computational methods.
Outside formal coursework, I genuinely enjoy reading economics, following debates within the profession and exploring new research questions. For me, economics is not simply a field of study, but a way of understanding how complex societies function and how better policies can improve people's lives.
I have always been fascinated by complex systems. Macroeconomies are among the most complex systems we observe: millions of heterogeneous agents interact simultaneously, information is imperfect, expectations constantly evolve, and yet remarkably regular patterns emerge.
What fascinates me is precisely this tension between complexity and simplicity. Behind apparently chaotic economic fluctuations there are often elegant mechanisms waiting to be understood. My research aims to uncover those mechanisms by combining rigorous economic theory, quantitative modelling and modern econometric methods.
I enjoy moving continuously between theory and data: from deriving equilibrium conditions in dynamic macroeconomic models to estimating empirical relationships and building forecasting models capable of answering real-world policy questions.
Ultimately, I believe economics is not simply about prediction. It is about understanding complexity.
Instead of simply listing research interests, I would like to explain the questions that motivate my work. I enjoy asking questions such as:
A research project investigating fiscal and monetary policy transmission, heterogeneous-agent models and inflation dynamics.
Development of a nonlinear dynamic model of tax compliance combining evolutionary game theory, optimal control and computational economics.
Development of experimental HICP nowcasting methods using web-scraped hotel prices, Time Product Dummy indices, Python, Quarto and reproducible research workflows.
Advanced graduate training in advanced macroeconomics, forecasting, nowcasting, advanced econometrics and 3 MRes/PhD-level courses.
Focused on econometrics and quantitative methods.
The ECB selection process highlighted strengths in:
