Hi, I am Manon Reusens, I recently graduated as a PhD student at the KU Leuven supervised by Professor Bart Baesens and co-supervised by Professor Seppe vanden Broucke and Professor Wouter Verbeke. In September, I start a postdoc with Professor David Martens and Professor Toon Calders as research manager of the Antwerp Center on Responsible AI (ACRAI).

I am an interdisciplinary researcher specializing in Responsible AI, with a particular focus on bias and fairness in Natural Language Processing. My work bridges three perspectives: (1) technical, through deep expertise in NLP; (2) societal, by examining the human impact of AI systems; and (3) applied, drawing on my background in business engineering to translate insights into actionable guidelines for organizations.

🎵 I am also very passionate about music. I have been playing the cello for 20 years, love to sing in different bands, and also play the piano .

🔎 Research interests

• Computational Social Science
• Bias and Fairness in NLP
• Multilingual NLP
• Responsible AI

📢 News

2025.06: I successfully defended my PhD, the full booklet can be found here.
2025.06: Our newest paper On the performance of LLMs for Real Estate Appraisal is accepted at ECML-PKDD 2025.
2025.06: I got the opportunity to pitch at the Social Science and Humanities Research day on language bias in AI.
2025.05: I was invited to give a talk on our latest paper on Large Language Models to make Museum Archive Collections more accessible in the AI in cultural heritage group.
2025.03: I successfully passed my predefense with minor revisions and am now set to do my public defense in June.
2025.02: Our newest paper Large Language Models to make Museum Archive Collections more accessible was published in AI & SOCIETY.
2024.12: Came back from my research stay at the University of Michigan, working together with Professor David Jurgens and his lab.
2024.06: Our latest preprint Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance is available on ArXiv.
2024.06: Our paper Evaluating text classification: A benchmark study was accepted at ESWA
2024.02: Our paper Predicting the demographics of Twitter users with programmatic weak supervision was published in TOP
2023.10: Two papers Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques and SEER were accepted at EMNLP 2023 (main)
2023.03: Our paper Topic modelling applied on innovation studies of Flemish companies was published in Journal of Business Analytics
2021.09: Start PhD at the KU Leuven