Tom Wilderjans

Tom Wilderjans is an Associate Professor in the Department of Psychology Methodology and Statistics at Leiden University's Faculty of Social and Behavioural Sciences. His work bridges quantitative methodology and behavioral research through advanced data analytical techniques.

His research focuses on developing novel methods for complex data analysis in social sciences, particularly:

• Uncovering qualitative/quantitative differences in human behavior mechanisms
• Data fusion of heterogeneous datasets (EEG/fMRI, observational/questionnaire)
• Unsupervised learning for inter-individual differences
• High-performance computing for big data analysis

His publication trends reveal strong interdisciplinary applications, primarily using machine learning and statistical modeling to address clinical psychology challenges like HIV-related depression interventions. The 2019 JMIR study exemplifies his focus on web-based behavioral interventions with rigorous methodological validation.

Teaching responsibilities include Psychology programs at BSc and MSc levels, emphasizing methodological rigor in behavioral research.