RiskSentinel for Microsoft AI Dev Days 2026
RiskSentinel is the project I built for Microsoft AI Dev Days Hackathon 2026: a multi-agent simulator for systemic risk, contagion analysis, and interactive stress testing.
RiskSentinel - Agentic Systemic Risk Simulator
Multi-agent systemic risk simulator for financial contagion analysis on 210 S&P 500 stocks, built for Microsoft AI Dev Days Hackathon 2026 and deployed as an interactive Streamlit …
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Master Graduation
Graduation at University of Rome Tor Vergata with final grade 110/110 cum laude. Thesis on systemic risk prediction with network topology and machine learning.
Network Topology Analysis and Machine Learning Techniques for Systemic Risk Prediction in U.S. Equity Markets
Leveraging Graph Neural Networks (GNNs) and complex network theory to detect early warning signals of systemic risk in financial markets.
Network Topology Analysis for Systemic Risk Prediction
Financial machine learning project combining dynamic correlation networks, graph neural networks, and trading backtests to detect systemic risk in U.S. equity markets.
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1 min read