Quintino Lotito is a postdoctoral researcher and algorithmist with a decade of experience bridging theoretical computer science and applied data problems, currently based in Trentino, Italy. He completed a PhD at the Università di Trento focused on algorithms for hypergraph analysis and has taught Algorithms and Data Structures to bachelor students and programming-competition teams. His work blends rigorous theory with practical tooling—ranging from recommender systems and data enrichment in industry internships to PyTorch-based research on multilingual NMT—evidencing fluency across Python, ML frameworks, and algorithm design. As a visiting researcher at Central European University and contributor on GitHub and Google Scholar, he combines collaborative academic publishing with reproducible-code practices. Colleagues know him for turning higher-order network problems into implementable solutions and for mentoring the next generation of competitive programmers.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università di Trento
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Contributions:22 releases, 13 PRs, 196 pushes in 2 years
graph-algorithmshypergraphsnetwork-science
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Quintino Lotito - Postdoctoral Researcher at Università di Trento