RESUME
Shafagh Kashef is a researcher and PhD candidate in Economics and Management at the Université Libre de Bruxelles, active in AI, cybersecurity, digital transformation, and entrepreneurial resilience fields. She combines a strong technical foundation rooted in a M.Sc. in Computer Science and Engineering with expertise in data analysis, system design, and research-driven problem solving. Her work spans academic research, applied industry projects, and EU-funded initiatives in cybersecurity and responsible AI adoption.
With hands-on experience in collecting, managing, and analysing complex qualitative and quantitative datasets, Shafagh excels at transforming raw data into clean, reusable datasets and producing clear analytical outputs. She integrates advanced tools and techniques to support evidence-based decision-making and develops data structures.
Her applied research within projects such as COcyber and LASO focuses on responsible and effective AI implementation in hospitals, cybersecurity governance, data management, and stakeholder-centric evaluation frameworks. She is deeply familiar with EU cybersecurity and data regulations, frameworks for responsible AI, and operational requirements for digital transformation in healthcare and public-sector contexts.
Beyond technical and analytical competencies, Shafagh brings strong experience in survey design, focus groups, mixed-method analysis supporting rigorous scientific outputs and high-impact publications. She has also contributed to the development of digital tools, including a skills assessment platform for IT professionals and research data infrastructures.
With hands-on experience in collecting, managing, and analysing complex qualitative and quantitative datasets, Shafagh excels at transforming raw data into clean, reusable datasets and producing clear analytical outputs. She integrates advanced tools and techniques to support evidence-based decision-making and develops data structures.
Her applied research within projects such as COcyber and LASO focuses on responsible and effective AI implementation in hospitals, cybersecurity governance, data management, and stakeholder-centric evaluation frameworks. She is deeply familiar with EU cybersecurity and data regulations, frameworks for responsible AI, and operational requirements for digital transformation in healthcare and public-sector contexts.
Beyond technical and analytical competencies, Shafagh brings strong experience in survey design, focus groups, mixed-method analysis supporting rigorous scientific outputs and high-impact publications. She has also contributed to the development of digital tools, including a skills assessment platform for IT professionals and research data infrastructures.
Research fields
Entrepreneurship | Entrepreneurial Team Resilience | Innovation Ecosystems | Venture Performance
