Mariana investigates associations between fetal brain abnormalities and neurodevelopmental outcomes using artificial intelligence-based tools. Her research explores how computational methods can help characterize early brain development and identify potential neurodevelopmental differences.

Hyeokjin applies graph neural networks and deep normative modeling to analyze cortical sulcal patterns derived from structural MRI. His research focuses on identifying atypical brain development and characterizing deviations associated with neurological conditions.

Andrea develops fetal brain MRI processing and analysis methods to characterize cortical development in typically and atypically developing populations. Her research combines computational neuroimaging with the investigation of early brain development.