About

I am a PhD candidate in the Web Information Systems (WIS) group at TU Delft supervised by Dr. Ujwal Gadiraju, with co-supervision from Dr. Stefan Buijsman and Dr. Jelte Mense. My research is part of the Model-Driven Decisions Lab (MoDDL), a joint initiative between the Delft University of Technology and the Netherlands National Police.

My work tackles the challenge of aligning open models and AI systems to organizational/societal values and standards in the high-stakes domain of law enforcement. Given the topic’s interdisciplinary nature, I closely collaborate with stakeholders, researchers, and data professionals within both the university and the police. In the pursuit of robust AI-mediated analysis and decision-making practices, I specifically examine the following research directions: (i) refining techniques for value identification, operationalization, and calibration; (ii) proposing model-usage frameworks tailored to concrete workflows in the police organization yet also conducive to alignment and appropriate reliance; (iii) devising methods for interactive and algorithmic model fine-tuning (with an emphasis on open-weights LLMs).

I come from a technical background in CS, having obtained my MSc Computer Science degree from TU Delft in 2026, with Algorithmics and Information Management as my chosen specialization themes. I carried out my thesis project on the topic “Designing Auditory Misinformation Warnings to Foster Critical Engagement with Podcasts” under the supervision of Dr. Ujwal Gadiraju. Sparking my interest in the research areas of human-computer interaction and human-AI complementarity, this 7-month endeavor (alongside other projects and experiences throughout my studies) opened my eyes to the prospect of an academic career and naturally brought my research focus close to the overarching objectives of the WIS group, of which I am now proudly a member.

Publications