Giulia Preti is a researcher with 8+ years of experience specializing in graph and network mining, currently working on applied research at Intesa Sanpaolo after roles at CENTAI and ISI Foundation. Her work spans weighted and dynamic graphs—detecting high-weight frequent structures for personalization and identifying convergent-edge groups that reveal regions of interest in evolving networks. She also investigates pattern mining and null models for higher-order structures like hypergraphs and simplicial complexes, with a focus on assessing statistical significance. During her PhD she developed a time-aware, schema-agnostic similarity function for entity resolution in heterogeneous temporal databases, combining theory with practical impact in industrial challenges such as portfolio optimization. An active reviewer and program committee chair for major conferences, she brings a rare blend of rigorous academic foundations in mathematics and computer science and hands-on experience translating complex network methods into actionable insights.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Università di Trento
BigDat 2017 Winter School Big Data, BigDat 2017 Winter School Big Data at Università degli Studi di Bari
High School High School focusing on Science, High School High School focusing on Science at Liceo B. Russell
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Trento
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