Giuseppe Spallitta is a postdoctoral associate at Rice University with nine years of experience bridging formal methods, probabilistic reasoning, and applied data science. He completed a PhD in Computer Science at Università di Trento after top‑ranked undergraduate and master’s degrees, and has contributed to SMT-based weighted model integration research published at UAI and AIJ through collaborations with KU Leuven. His work includes visiting research on model counting and enumeration, teaching formal methods, and industrial experience as a data scientist at SpazioDati, reflecting a mix of theoretical depth and practical impact. Based in Houston, Giuseppe brings strong mentoring experience from multiple tutoring and teaching roles and a proven ability to translate formal verification techniques into probabilistic verification tools. An often-overlooked strength is his track record of combining structure-aware SMT techniques with probabilistic inference to improve scalability in real-world verification tasks.
8 years of coding experience
1 year of employment as a software developer
Diploma di maturità, 100/100 with Honors, Diploma di maturità, 100/100 with Honors at Liceo Scientifico Santa Maria Mazzarello
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università di Trento
Exchange Student, Computer Science, Exchange Student, Computer Science at Aalto University
Bachelor's degree, Computer Science, 110/110 with Honors, Bachelor's degree, Computer Science, 110/110 with Honors at Università degli Studi di Trento
Repository containing the exercises solved during the Lab lectures for the course of Formal Methods (a.k.a. "Module 1: Automated Reasoning" and "Module 2: Model Checking") for the academic year 2020/2021
Contributions:13 commits, 4 PRs, 15 pushes in 11 months
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