Master Graduation

Jan 23, 2026·
Stefano Blando
Stefano Blando
· 1 min read
CESMA Master Graduation at University of Rome Tor Vergata
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I am proud to share that on Monday, February 2, 2026, I was awarded the II Level Master in Customer Experience, Statistics, Machine Learning and Artificial Intelligence (CESMA) at the University of Rome Tor Vergata, with a final grade of 110/110 cum laude.

The Thesis

My thesis, titled “Network Topology Analysis and Machine Learning Techniques for Systemic Risk Prediction in U.S. Equity Markets”, explores the application of Graph Neural Networks and complex network theory to identify early warning signals in financial markets.

This work is directly connected to my ongoing research. You can explore the technical details and code in the dedicated sections of this portfolio:

The master provided a strong foundation in advanced statistical methods and AI, which I am now applying to my PhD research at Scuola Superiore Sant’Anna.

Education Machine Learning Systemic Risk Tor Vergata
Stefano Blando
Authors
Stefano Blando (he/him)
PhD Student in Artificial Intelligence
Stefano Blando is a PhD student in the National PhD Program in Artificial Intelligence at Scuola Superiore Sant’Anna and the University of Pisa. His research lies at the intersection of AI, agent-based modeling, and economics. He studies adaptive multi-agent systems, statistical verification of economic simulations, and robust quantitative methods for financial and socio-economic data.