Dr. Jill Inderstrodt is a leader in the field of maternal and child health informatics.

She leads projects that use medical record data to advance our understanding of maternal and child health. The U.S. Centers for Disease Control and Prevention (CDC) funds most of her surveillance work aimed at stillbirth, neonatal abstinence syndrome, congenital heart defects, and pregnancy-related vaccine safety. She serves as investigator on projects in collaboration with Indiana Family and Social Services Administration, Department of Veterans Affairs, and the City of Indianapolis.

Dr. Inderstrodt is Co-Principal Investigator of the Indiana University Better AI for a Strong Rural Maternal and Child Health Environment (IU BARE) Lab, funded by the National Institutes of Health’s AIM-AHEAD Consortium to enhance institutional AI readiness. The lab uses her machine learning models developed as an AIM-AHEAD research fellow to pilot a predictive AI tool to identify cardiometabolic complications during pregnancy for use in obstetric deserts.

In Dr. Inderstrodt’s own words: “Every mom deserves the pregnancy, birth, and infancy they want for themselves and their baby.” She uses data every day to work towards this goal.