Rate My Professor Elise Erickson

Her research investigates physiological mechanisms governing parturition, with emphasis on genetic and epigenetic variations in oxytocin function to optimize its clinical use during labor and prevent postpartum hemorrhage, the leading cause of maternal morbidity. She also examines epigenetic aging as a biomarker of uterine function, influences of social determinants of health on maternal outcomes, and predictive analytics using wearable devices combined with AI and machine learning to anticipate labor onset and pregnancy complications. Dr. Erickson specializes in latent mixture modeling for heterogeneous phenomena. She has received major funding including a $2.9 million R01 grant from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (2023) and an Arizona Biomedical Research Center grant (2025). Select publications include "Deep Learning Model Using Continuous Skin Temperature Data Predicts Labor Onset" (BMC Pregnancy and Childbirth, 2024), "Role of Physiologic and Pharmacologic Oxytocin in Labor Progress" (book chapter, 2024), and "A Common OXTR Risk Variant Alters Regulation of Gene Expression by DNA Hydroxymethylation in Pregnant Human Myometrium" (Reproductive Sciences, 2024). As Co-Chair of the Research & Standards Committee for the American College of Nurse-Midwives and an associate member of the Arizona Maternal Mortality Review Committee, she advances personalized, evidence-based maternal health strategies.