Biomedical Informatics
Maternal and Child Health
Women's Health
Dr. Jill Inderstrodt is Assistant Professor in Department of Health Policy & Management and Research Scientist with Regenstrief Institute’s Center for Biomedical Informatics (CBMI). She also serves as an Affiliated Scientist with the Military Family Research Institute at Purdue University.
Dr. Inderstrodt’s professional path spans global service, higher education, and data-driven public health research. She served in the Peace Corps twice, leading public health campaigns about rape and domestic violence in South Africa (’03-’05) and developing youth sports engagement programs in Jamaica (’10). She earned an MA in Performance Studies (UT-Austin), an PhD/MPH in Health Communication (Purdue University). While at Purdue, her experience working under mentor Dr. Amanda Veile in the Veile Lab for Behavior, Ontogeny, and Reproduction (LABOR) facilitated her transition into maternal health research. She later completed a postdoc in medical informatics with the VA’s Center for Health Information and Communication, where she conducted research on veteran maternal health.
Today, Dr. Inderstrodt leads pioneering research to reduce disparities in maternal-infant health by designing intelligent surveillance systems, applying AI and machine learning in obstetric care deserts, and translating data into meaningful change. Her work builds on her global, educational and service background to center equity in public health.
Dr. Inderstrodt’s research follows two tracks:
First, she leads the design of multi-modal public health surveillance systems that integrate clinical, administrative, interview, and policy data to improve understanding of maternal and infant health. Her approach reaches beyond traditional reliance on quantitative data to see individuals as more than the data points their health records provide. She serves as Principal Investigator on a five-year CDC cooperative agreement to enhance Congenital Heart Defects surveillance in Indiana, directing a statewide collaboration for improved surveillance infrastructure, clinical practice, and maternal-infant health policy. She also serves as lead investigator of stillbirth surveillance for IU/Regenstrief’s Pregnant Women-Infant Linked Longitudinal Surveillance (PILLARS) cooperative agreement with the CDC (PI: Brian Dixon).
Second, she leads teams that apply AI and machine learning to develop products that improve care for pregnant women, especially those living in under-resourced areas like obstetric deserts. She is Co-PI of the IU Better AI for a Strong Rural Maternal and Child Health Environment (IU-BARE) Lab, a multi-campus effort that uses AI/ML and community-based participatory research to embed predictive models into culturally responsive remote monitoring tools designed to advance equitable pregnancy care.
PI, NU01DD000058. Advancing Surveillance of Congenital Heart Defects: Using Unparalleled Informatics and Data Science to Improve the Health of Children, Adolescents, and Adults (CDC). 2024-2029.
PI, PAIRC2-SUB00453. Indiana University Better AI for Rural Maternal and Child Health Equity (NIH). 2025-2026. (MPIs: K. Turi, L. Acharya)
PI, City of Indianapolis BIRTH Fund Guaranteed Basic Income for Pregnant People Pilot Project (City of Indianapolis). 2025-2028.
Co-I, 5NU01DD000026 Linking Data Across Clinical and Public Health Systems to Enhance Maternal and Child Health Surveillance in Indiana - Component B (CDC). 2023-2027. (PI: B. Dixon).
