

Our mission
We aim to tackle one of the greatest public health challenges of our time: decreasing the vast burden of stress-related mental health problems, both in psychiatric and somatic illnesses.
Goals
- To advance mechanistic understanding of how stress affects brain structure and function by integrating insights across levels from molecules to neurocognitive system and behavior and across animal and human experimental models.
- To identify genetic and environmental factors that confer risk and resilience to stress, and to uncover the transdiagnostic disease and resilience mechanisms that operate across timescales – from immediate responses to life episodes and across the lifespan.
- To develop individualized and targeted interventions for the treatment and prevention of transdiagnostic stress-related symptoms or the mitigation of somatic disease symptoms, based on mechanistic, genetic, developmental, and computational understanding.
- To advance analytical data science approaches for investigating quantitative (bio)markers (including neuroimaging, -omics, population registries, satellite remote sensing, and offline as well as real-time behavioral/digital phenotyping) for stress responsiveness and resilience, including the development of new algorithms.