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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On Monday, February 2, 2026, I completed the II Level Master in Customer Experience, Statistics, Machine Learning and Artificial Intelligence (CESMA) at the University of Rome Tor Vergata, graduating with a final grade of 110/110 cum laude.

Thesis & Methodology

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

This work directly informs my current doctoral research. Further technical details and methodology are available across the portfolio:

The master program provided advanced methodological training in machine learning and statistical modeling, which I continue to build upon in 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, differentiable agent-based models, LLM-based generative agents, and robust quantitative methods for financial and socio-economic data.