Advancing health equity through rigorous quantitative research — from perinatal opioid outcomes to machine learning in global public health.
I am an Assistant Professor at the Marquette University College of Nursing and a nurse scientist with over a decade of experience spanning clinical practice, global health research, and advanced quantitative methods.
My research focuses on perinatal opioid exposure and substance use in vulnerable populations, examining the social and structural determinants that shape health outcomes. I apply machine learning and big data approaches to public health challenges across the United States, Ghana, and sub-Saharan Africa.
Before joining Marquette, I completed a postdoctoral fellowship in Dr. Diane Von Ah's lab at The Ohio State University College of Nursing, and earned my PhD from the University of Cincinnati. My clinical roots as a registered nurse — including years at FOCOS Orthopedic Hospital in Ghana — ground every research question I pursue.
Opioid misuse, prenatal exposure, and neonatal outcomes to inform clinical care and policy.
Predictive algorithms for malnutrition, anaemia, and infectious disease in low-resource settings.
HIV, reproductive health, and health system disparities in Ghana and West Africa.
Frameworks to help nurse scientists leverage large administrative datasets.
60+ peer-reviewed publications across nursing, public health, and global health
View Google Scholar ↗I am passionate about supporting the next generation of nurse scientists and health researchers. Whether you are exploring graduate school options or seeking guidance on academic research, I welcome you to reach out.
I offer mentoring in the following areas:
I typically respond within two weeks. Due to capacity, I may not be able to accommodate all requests.