Teaching & Service

Experience

• Lecturer, Hotelschool, The Hague University of Applied Sciences, Netherlands 2026–Present
  • Teaching Data Analytics and Research to year 1 students.
  • Involved in the Hospitality Research Lab course for year 3 students.
  • Involved in the maker space: the use of AR/VR, 3D printing.
• Postdoctoral Researcher, VU Amsterdam, Quantitative Data Analytics, Netherlands 2025–2026
  • Focus: intersectional fairness, and in/post-training of recommendations.
• Postdoctoral Researcher, CWI, Human-Centered Data Analytics, Amsterdam, Netherlands 2023–2026
  • Focus: diversity in news recommender systems, AI ethics, and federated learning.
• Methodologist, Centraal Bureau voor de Statistiek (CBS), The Hague, Netherlands 2021–2024
  • Advised on data governance policy and contributed to frameworks for responsible data access in a national statistical context.
  • Developed and validated privacy-preserving analytical methods for sensitive population data under strict confidentiality and legal constraints.
  • Evaluated synthetic data and model-release strategies as secure alternatives to direct data access.
  • Collaborated internationally (Statistics Canada, UNECE) on responsible data governance frameworks.
  • Co-authored the UNECE guidelines on synthetic data for official statistics, and the IEEE White Paper on privacy risk, metrics, and governance in synthetic data.
• Research Intern, LIPN, University of Paris 13, France 2017
  • Worked on social recommender systems and link prediction algorithms.
  • Gained hands-on experience in graph-based machine learning methods.

Teaching & Supervision

• Student Supervision, VU Amsterdam, TU Delft, Radboud, UvA, NTNU, Netherlands / International 2017–Present
  • Supervised 30+ BSc and MSc students on privacy-preserving ML, recommender systems, fairness, and synthetic data.
  • Several supervised projects led to peer-reviewed publications at ACM RecSys, ECIR, and PSD.
• Teaching Assistant, Radboud University, Netherlands 2021–2022
  • Taught research methods at MSc level: planning, problem-solving, and methodological design.
  • Coached students on applying AI and data science in real-world scenarios.
• Teaching Assistant, Amsterdam Institute for Advanced Metropolitan Solutions, Netherlands 2018–2019
  • Designed and delivered R programming tutorials for metropolitan data analysis.
  • Teaching materials publicly available on GitHub.

Academic Service

• Co-organizer, SynIRgy, First Workshop on Simulation and Synthetic Data for Information Retrieval, ECIR 2026 2026
• Co-organizer, SimuRec, First Workshop on Simulation and Synthetic Data for Recommender Systems Research, ACM RecSys 2021 2021
• Student Volunteer Co-Chair, ACM RecSys 2021 2021
• Student Volunteer, ACM RecSys 2018–2020
• Reviewer, ACM TIST, ACM TOIS, ACM RecSys, ECIR, The Web Conference, UMAP, Information Processing & Management (IPM), and workshops including BIAS, RMSE, and SynIRgy Ongoing

Education

• PhD in Computer Science, Delft University of Technology, Netherlands 2017–2024

  Dissertation: Towards Purpose-Aware Privacy-Preserving Techniques for Predictive Applications.

• MSc in Data Mining & Knowledge Management, Polytech Nantes, University of Nantes, France 2014–2015
• MSc in Business Intelligence, ISG Tunis, Tunisia 2013–2015
• BSc in Information Technology applied to management, ISG Tunis, Tunisia 2011–2013

Skills & Languages