Timo van der Kuil

Hi! I’m Timo, a PhD Candidate in the Department of Methodology and Statistics at Utrecht University’s Faculty of Social and Behavioural Sciences. I work in the AI-Aided Knowledge Discovery Lab and the Natural Language and Text Processing Lab, applying my research to ASReview, an open-source AI-assisted systematic review tool. I have previously worked at the Dutch Organization for Applied Scientific Research (TNO) and collaborated with the Netherlands Institute of Ecology (NIOO-KNAW).

After earning my Master’s degree in Computer Science from the University of Twente, I decided to pursue a PhD. My research explores how AI and NLP can improve systematic reviews—reducing the time researchers spend on screening while allowing them to spend more time on analysis and discovery. Throughout my work, I prioritize ethical considerations to ensure responsible and reproducible AI in research.

Feel free to reach out via email: t.h.vanderkuil@uu.nl

Selected Publications

Patterns
ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts

Jonathan de Bruin, Peter Lombaers, Casper Kaandorp, Jelle Teijema, Timo van der Kuil, Berke Yazan, Angie Dong, and Rens van de Schoot

Patterns, 2025

Abs DOI Bib

ASReview LAB v.2 introduces an advancement in AI-assisted systematic reviewing by enabling collaborative screening with multiple experts (“a crowd of oracles”) using a shared AI model. The platform supports multiple AI agents within the same project, allowing users to switch between fast general-purpose models and domain-specific, semantic, or multilingual transformer models. Leveraging the SYNERGY benchmark dataset, performance has improved significantly, showing a 24.1% reduction in loss compared to version 1 through model improvements and hyperparameter tuning. ASReview LAB v.2 follows user-centric design principles and offers reproducible, transparent workflows. It logs key configuration and annotation data while balancing full model traceability with efficient storage. Future developments include automated model switching based on performance metrics, noise-robust learning, and ensemble-based decision-making.
@article{bruin2025asreview, title = {ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts}, journal = {Patterns}, pages = {101318}, year = {2025}, issn = {2666-3899}, doi = {https://doi.org/10.1016/j.patter.2025.101318}, url = {https://www.sciencedirect.com/science/article/pii/S2666389925001667}, author = {{de Bruin}, Jonathan and Lombaers, Peter and Kaandorp, Casper and Teijema, Jelle and {van der Kuil}, Timo and Yazan, Berke and Dong, Angie and {van de Schoot}, Rens} }
Modeling Complex Ecological Networks to Analyze the Impact of Soil Sampling Methodologies on Data Integrity

Timo van der Kuil

University of Twente, 2024

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