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.

Gilberto is a Biomedical Engineering student at Tecnológico de Monterrey. At FNNDSC, he supports fetal and neonatal neuroimaging research, drawing on his experience in biomedical signal processing, neuroengineering, and computational image analysis.

Carlos is a Mechatronics Engineering student at Tecnológico de Monterrey. His work at FNNDSC includes automated fetal and neonatal MRI processing, dataset preparation, and machine learning-based image analysis.

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.

Melquisideth works on fetal and neonatal MRI processing, brain segmentation, quality control, and computational neuroimaging pipelines. His work supports research on early brain development through advanced image processing and machine learning methods.