Elise N. Erickson PhD CNM FACNM

Associate Professor - Physiology
Elise Erickson, PhD
Arizona Health Sciences Center 4204
Research Interests

Our lab is interdisciplinary and translational in nature. My research program is informed by more than 18 years of clinical experience as a Certified Nurse Midwife, some training in behavioral neuroscience methods and an academic focus on maternal health/physiology. My work centers on the intersection of physiological mechanisms governing parturition, exposures from the social environment, and the clinical decisions that converge on key maternal health endpoints including labor onset and morbidity from childbirth. The goal of this work is to contribute to the knowledge of the causes and consequences of individual variability in parturition to develop personalized care strategies and optimize birth outcomes. 

While much of my work focuses on genetic and epigenetic biomarkers that help us understand oxytocin function and improve the prevention and management of uterine atony- the leading cause of postpartum hemorrhage, I have also contributed many studies examining how clinical practice variation, birth attendant practices, and birth setting associate with maternal health using various phenotyping-based statistical methods. 

Another current study uses a non-invasive wearable device (smart ring) tracking physiological data for the purposes of understanding and predicting events in pregnancy including labor onset using AI/ML. 

2005: BS - University of Michigan – Nursing

2008: MS - University of Illinois- Chicago – Midwifery & Women’s Health

2010: (non-degree) Graduate Training - University of Illinois- Chicago- Neuroscience

2018: PhD- Oregon Health & Science University – Nursing

2018-2020: K12- Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Post-Doctoral Training (Maternal Health / Genetic / Epigenetic Biomarkers) 

2020-2022: K99- Post-Doctoral Training- (Maternal Health / Epigenetic and Statistical Methods) 

Publication Highlights
Erickson EN, Krol KM, Perkeybile AM, Connelly JJ, Myatt L. Oxytocin receptor single nucleotide polymorphism predicts atony-related postpartum hemorrhage. BMC Pregnancy Childbirth. 2022 Nov 29;22(1):884. PMCID: PMC9706912.
Erickson EN, Myatt L, Danoff J, Krol KM, Connelly JJ (2023). Oxytocin receptor methylation is associated with exogenous oxytocin needs during parturition and postpartum hemorrhage. Commun Med (Lond). 2023 Jan 27;3(1):11. PMCID: PMC9882749.
Basavaraj C, Grant AD, Aras SG, Erickson EN. Deep learning model using continuous skin temperature data predicts labor onset. BMC Pregnancy Childbirth. 2024 Nov 25;24(1):777. PMCID: PMC11587739
Erickson, E.N., Carlson, N (2022). Maternal Morbidity Predicted by Intersectional Social Determinants of Health Phenotype: A Secondary Analysis of the NuMoM2b Dataset. Reproductive Sciences PMCID: PMC9288477

Research Interests

Mechanisms underpinning maternal health – broadly defined.