The MHESC Study, funded by the National Institute of Mental Health (R01MH121877; PIs Luby, Rogers, Wakschlag), employs computational methods to generate a neurodevelopmental risk calculator, predicting preschool psychopathology from infant brain and behavioral markers. The goal of this study is to develop a calculator to be implemented in public health settings, including pediatric primary care, to identify young children at risk for mental health difficulties and therefore improve anti-biased clinical decision making. The study uses state-of-the art harmonization methods to form a neurodevelopmental synthetic cohort and generate an infant mental health risk calculator building on decades of work in cardiovascular risk prediction (e.g., the Framingham Risk Calculator). The MHESC reflects a large transdisciplinary collaboration with Northwestern University and Washington University School of Medicine. The cross-institutional collaboration integrates epidemiological risk prediction and machine learning experts, neuroscientists, developmental psychologists, and psychopathologists.