Bio
I'm a Ph.D. candidate in Blockchain and Distributed Ledger Technology at the University of Milano-Bicocca, with a background in Data Science and Computer Engineering. My research focuses on on-chain and off-chain data, decentralized finance (DeFi), MEV strategies, and the Ethereum ecosystem, especially in the context of Proof-of-Stake. I’ve presented my work at international conferences and spent time as a Visiting Student Researcher at Boston University. I enjoy working with complex blockchain data — especially transaction-level data — and building graph-based models to uncover patterns in user behavior, MEV activity, and protocol dynamics. I'm currently looking for opportunities in Data Science applied to Blockchain, particularly roles involving on-chain and off-chain data analysis. I work mainly in Python and R, and I'm comfortable across the data stack — from processing raw blockchain data to building meaningful visualizations.
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