Ph.D. researcher and software developer focused on Differential Privacy optimization using quantum random number generation, synthetic data generation, and privacy-preserving Machine Learning systems.

Combines theoretical privacy research with practical system development, including production QRNG platforms and standardized entropy distribution APIs.

Academic credentials include Master's with distinction, CERN research collaboration, and ongoing industry-academia partnership investigating true randomness impact on privacy mechanisms.

Specialized in bridging fundamental research with enterprise-grade technological solutions.

Read the full CV here ↗

Experience Experience

may 2024 → Present

Random Power Random Power • Startup

Full Stack Developer • Remote

  • Developed comprehensive Django-based web client (backend and frontend) for Random Power’s 64x Multi‑Generator Board quantum hardware platform, enabling secure access to true quantum randomness generation.
  • Built secure user authentication and session management supporting multiple concurrent users.
  • Built Palo Alto QRNG API-compliant Entropy-as-a-Service platform supporting 1Gbit/s quantum random bit distribution with automated quality assurance and real-time compliance monitoring.
  • Collaborated on C-based scheduler and TEE components for secure random bit distribution.
  • Designed and maintained communication interfaces between hardware and software components, ensuring reliable and secure data exchange.

sep. 2024 → jul. 2025

A. Paradisi High School A. Paradisi • High School

Computer Science Teacher • Vignola, Italy

  • Introduced 75+ high school students to programming, algorithms, and fundamental computer concepts using practical exercises and projects.

sep. 2024 → dec. 2024

University of Modena and Reggio Emilia University of Modena and Reggio Emilia

Computer Science University Tutor • Modena, Italy

  • Conducted laboratory sessions, guiding 50+ undergraduate students in programming, algorithms, and data structures.
  • Provided hands-on support during labs, assisted with debugging, and facilitated practical understanding of theoretical concepts.

may 2021 → jul. 2021

Liferay Liferay Inc.

Junior Backend Developer • Remote

  • Integrated Stripe payment functionality into the open-source Liferay Portal.

Education Education

nov. 2024 → Present

University of Insubria University of Insubria

Ph.D. in Computer Science and Mathematics of Computation

  • Researched Differential Privacy frameworks analyzing how quantum vs. pseudo-random number generation impacts privacy mechanism effectiveness.
  • Investigated synthetic data generation algorithms with DP guarantees, optimizing the privacy-utility trade-off for machine learning applications on sensitive datasets.

sep. 2022 → apr. 2024

University of Modena and Reggio Emilia University of Modena and Reggio Emilia

Master's Degree in Computer Science • 110/110

  • Big Data & Machine Learning: Focus on predictive modeling, large-scale data analysis, and advanced machine learning methods.
  • Cybersecurity & Cryptography: Exploration of theoretical and applied aspects of data security and cryptographic protocols.

feb. 2023 → jun. 2023

University of Bologna University of Bologna

Post Graduate Degree CBI.Attract • 30/30 with Honors

  • Participated in research collaborations at CERN and AGH University, funded by the EU Attract Project, contributing to joint investigations on emerging technologies.
  • Explored technological opportunities through Design Thinking–based prototyping and testing.

sep. 2018 → apr. 2022

University of Modena and Reggio Emilia University of Modena and Reggio Emilia

Bachelor's Degree in Computer Science

  • Computer Science Foundations: Algorithms, data structures, programming languages, computer architecture, and operating systems.
  • Mathematical Foundations: Discrete mathematics, calculus, statistics, and linear algebra.

Publications Publications

apr. 2024

University of Modena and Reggio Emilia Privacy Preservation in Data Sharing: A Study on Differential Privacy

Master's thesis

  • An introductory and analytical study of differential privacy as a technique for preserving data confidentiality.
  • Read the full thesis here ↗

Projects Projects

In development

LDP-lib LDP-lib

Local Differential Privacy Library

  • Designed and implemented a library for applying Local Differential Privacy mechanisms to local databases.

Explore all my projects here ↗

Awards Awards

sep. 2023

Green & Digital Transformation two‑day Hackathon Winner of Green & Digital Transformation Hackathon

University of Modena and Reggio Emilia • Mantua, Italy

  • Winner of a hackathon with a machine learning–based predictive model for water consumption optimization.