I am a final-year PhD candidate at Radboud University, where I focus on developing trustworthy AI systems. My research centers on retrieval-augmented generation (RAG), deep research agents, and uncertainty quantification, with the goal of building reliable AI systems capable of solving complex information-seeking and reasoning tasks.

My work has been published in leading academic venues, including ACL, EMNLP, SIGIR, ACM Computing Surveys, COLING, SIGIR-AP, and ICTIR.

Alongside my academic research, I actively collaborate with industry as an Applied AI and Data Science Researcher. Most recently, I completed a research internship at Thomson Reuters, where I developed agentic search solutions for the legal domain. Prior to that, I worked with KPN to integrate uncertainty quantification methods into their RAG systems, improving the reliability and trustworthiness of AI-generated responses.