Federal Grant Award Summary

The National Institute of Mental Health (NIMH) awarded University of California, Davis a Project Grant of $442,750 under the Mental Health Research Grants program (CFDA 93.242) for a two-year period from April 1, 2026 through March 31, 2028. The award supports the development of novel statistical methodologies for predicting individualized intervention effects in clustered and longitudinal datasets. The project addresses a critical gap in precision medicine by creating innovative statistical tools that integrate machine learning techniques to handle the complexity of high-dimensional biomarker data with repeated measurements across time and spatial dimensions.

The primary deliverables under this grant include the development of an advanced statistical framework designed to improve researchers' ability to identify which individuals are likely to respond to specific interventions. The project will rigorously evaluate these methodologies through simulation studies and apply them to real-world longitudinal and clustered datasets, with particular application to understanding maternal immune activation and its effects on neurodevelopmental outcomes. By advancing statistical approaches for analyzing complex biomedical data structures, the award aims to generate peer-reviewed publications, computational tools, and methodological insights that will accelerate precision medicine research across mental health and related fields.