FAES Science Insight Series: Leveraging Data Science to Advance Maternal and Child Health Research
This series invites Principal Investigators, Senior Scientists, and Senior Clinicians to share cutting-edge research and developments in their fields in the FAES Learning Labs in Building 10. Each session includes a 20-30 minute presentation followed by a Q&A or journal club discussion, fostering deeper insights and scholarly exchange. Lunch is provided on a first come first served basis.
This event is for members of the NIH community only. You must register with your nih.gov email to confirm your registration.
Leveraging Data Science to Advance Maternal and Child Health Research with Quynh Nguyen, Ph.D., MSPH., Investigator at NINR and director of the HashtagHealth Lab
Dr. Nguyen will lead a discussion on harnessing data science to better understand and address maternal and child health disparities. She will highlight examples from her own research, including: 1) developing and evaluating an AI-powered health education chatbot to improve maternal and infant health outcomes; and 2) applying computer vision models to Google Street View images to generate national indicators of neighborhood-built environments and investigate their associations with health outcomes, such as motor vehicle collision fatalities among children.
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