We use real-time self-reports and daily-life data to predict when people are at risk of rumination and worry. Next, we test digital interventions delivered exactly in those moments.

We are developing the Neurodevelopmental Disorders Ecological Tracker (N-DET), a caregiver-report tool that monitors daily changes in autism and rare genetic conditions.

We study moment-to-moment experiences using real-time surveys and computational tools, identifying recurring “archetypal states” across individuals.

We develop personalized models that forecast adolescent symptoms an hour ahead using surveys and wearable data. In future work, these models will power just-in-time adaptive interventions.

We develop person-specific models that forecast short-term occurrences of PTSD symptoms (e.g., re-experiencing, physical arousal, avoidance).

We follow 120 children and teens with ARID1B-related disorder across 2.5 years and seven sites worldwide, to better understand how this condition changes over time.