Gabriele MESSINA

PhD Student
PhD in Computer Science - Ciclo 41°
Tutor: Simone FARO

Education

  • Master of Science in Computer Science, University of Catania, 2025.
    • Thesis: Qutes: A High-Level Quantum Programming Language for Simplified Quantum Computing.
    • Grade: 110/110 with honours.
  • Bachelor of Science in Computer Science, University of Catania, 2022.
    • Thesis: Parallel GPU implementation of the PETS task scheduling algorithm.
    • Grade: 110/110 with honours.

Professional Experience

  • Software Engineer | Neotek Solutions S.r.l. January 2019 - October 2025
    • Led end-to-end design and deployment of enterprise-grade software, including cross-platform mobile applications (5,000+ downloads) and full-stack web applications using C#, .NET, Blazor, and MAUI.
    • Managed and automated corporate DevOps infrastructure, migrating 100+ projects from SVN to GitLab and implementing CI/CD pipelines for build, test, and release phases.

Design of high-level abstractions and domain-specific languages (DSL) that simplify the development of hybrid classical-quantum applications.

Current work involves the evolution of Qutes, a practical high-level language for quantum computing built atop Qiskit, targeting improved usability, interoperability, and performance across real quantum hardware and simulators.

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