Pien Rooijendijk

Research Internship at Fox Crypto / Fox-IT

Internship · Sep 2024 - May 2025 · Delft, the Netherlands

• Worked on AI-powered software for identifying and analyzing software vulnerabilities.
• Participated in daily stand-ups, developing a strong understanding of secure software development workflows in a real-world environment.
• The following Research Paper was the result of my internship of 3 months: Enhancing Vulnerability Detection in Source Code using Adversarial Training
• Researched using federated learning to securely analyze classified documents with large language models (LLMs), ensuring data privacy and security during my Master thesis.

"Cybersecurity Strategies in the Era of Artificial Intelligence" at Babeş-Bolyai University

Blended Intensive Programme (BIP) · May 2024 · Cluj-Napoca, Romania

• Explored the main forms of cybercrime, how perpetrators exploit disruptive technology tools, and strategies for building effective cybersecurity defenses.
• Gained valuable insights into Romanian culture through collaboration with local students and participation in cultural activities in Cluj-Napoca.

PhD Candidate, Radboud University

2025 - Present

• Researching Explainable AI for Software Vulnerabilities.
• Developing interpretable machine learning models for cybersecurity.

MSc in Cybersecurity and AI

Radboud University · 2022 - 2024

• Specialization of Computing Science in Cybersecurity and AI.
• Master's thesis on "Federated Learning for Secure and Permission-Aware LLM Applications".

BSc in Artificial Intelligence

Radboud University · 2020 - 2023

• Studied core AI topics including machine learning, natural language processing, and data analysis.
• Developed a particular interest in Machine Hearing and Cybersecurity.
• Bachelor thesis on "Predictability and Uncertainty in the Pleasure of Music using the Music Transformer".

Curriculum Vitae