Inga Schwabe

Dr. Inga Schwabe is a University lecturer in the Department of Methodology at Tilburg School of Social and Behavioral Sciences, Tilburg University. She specializes in advanced quantitative methods and their application to psychological research questions, particularly in maternal mental health and forensic psychology contexts.

Her research interests include:

• Structural Equation Modeling and advanced statistical techniques
• Machine learning applications in psychological research
• Maternal bonding and postpartum depression
• Mindfulness interventions during pregnancy
• Psychometric validation of assessment tools
• Analysis of large language models through psychological frameworks

Dr. Schwabe's recent publications demonstrate a strong trajectory of methodologically sophisticated research addressing critical questions in perinatal mental health and the intersection of psychology with artificial intelligence. Her work on identifying prenatal risk factors for postpartum depression using machine learning represents a significant contribution to early intervention strategies, while her critical examination of 'cognitive phantoms' in large language models challenges assumptions about applying human psychometric tools to AI systems.

She teaches courses in Structural Equation Modeling & Analysis and Construction and analysis of questionnaires, providing essential methodological training for social and behavioral science researchers. Her collaborative work spans multiple departments including Medical and Clinical Psychology, Developmental Psychology, and Tranzo, reflecting the interdisciplinary nature of her research approach.