Richa’s work is centered around scalability of research for balanced equity of maternal – infant health across all societal levels. Leveraging commercially available technology like cameras embedded in smart phones, she has developed methods that engage parents as active collaborators of her research endeavor to longitudinally track the neonate’s motor development. Using these digital means integrated with machine learning and artificial intelligence, her research assesses the progression of neurological and physical growth during these critical first months of life. Through brief, three-minute-long videos collected with an APP, she can remotely track the baby’s motions and growth, augmenting the criteria from General Movements Assessment theory with interpretable digital biometrics from the lab.
Richa also adapts digitized clinical screeners for use with toddlers and young children and analyzes open access data from mom – infant dyads to learn about their hearts’ entrainment patterns.
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Richa also analyzes open access data involving biorhythmic activities of the heart shared between mom and baby.