My academic work includes peer-reviewed publishing, conference participation, and teaching. I’m particularly interested in how automation and collaboration influence software ecosystems.

📄 Publications

Journal Articles

Conference Papers

🥇 Awards

Data/Tool Track Distinguished Paper Award

Awarded at the 22nd International Conference on Mining Software Repositories (MSR 2025) for the paper ”A Dataset of Contributor Activities in the NumFocus Open-Source Community”

🎤 Conferences

Lightning talk & poster at the 22nd International Conference on Mining Software Repositories

📍 Rogers Centre - Ottawa, Canada Apr 2025

  • About the dataset of contributor activities in the NumFocus open-Source community

Talk at the 23rd Belgium-Netherlands Software Evolution Workshop

📍 University of Namur - Namur, Belgium Nov 2024

  • Towards understanding open-source software communities

Participated the 4th International Software Engineering Summer School

📍 University of Bari Aldo Moro - Bari, Italy Sep 2024

  • Tutorials, talks, and networking sessions on recent trends in software engineering

Talk at the InforTech Day'24

📍 University of Mons - Mons, Belgium May 2024

  • About the impact of bots in collaborative software development communities

🏫 Teaching

Master’s Thesis Jury Member (2024 & 2025)

  • Served as rapporteur and jury member for master’s thesis defenses.

Master’s Course: Software Evolution (2024 & 2025)

  • Guided student teams on collaborative software development in GitHub
  • Delivered practical coursework on development bots and Lehman’s laws of software evolution.
  • Aassisted in project evaluation and grading.

Bachelor’s Course: Compilation (2024 & 2025)

  • Supported students in Python programming for regular expressions and automata theory.
  • Provided individual assistance during lab sessions to reinforce concepts.

1-Month Research Internship (Aug - Sep 2024)

  • Assisted a mathematical science bachelor’s student in exploring graph analysis techniques for analyzing socio-technical networks in open-source communities.

🛠 Tools

ghmap: GitHub Event Mapping Tool

Open-source python tool designed to extract meaningful contributor activity from raw GitHub event logs. It addresses the difficulty of working with fragmented, low-level events by translating them into higher-level sequences that better reflect actual development actions. The tool uses a structured mapping process to group related events and reduce noise, making it easier to study collaboration patterns or feed downstream analyses. It has been used to process activity across dozens of open-source projects and is freely available for research and tooling integration.

Code · PyPI