The HAP 360 Health Information Systems course is being redesigned to serve both Health Administration/Informatics and School of Nursing students by consolidating it with the nursing informatics course, NUR 457.This transformation aims to bridge content gaps by integrating nursing-specific topics and making technical concepts more accessible to nursing students through innovative, AI-driven instructional videos, scenario-based active learning, and culturally inclusive materials. The goal is to create an interdisciplinary and inclusive learning environment that equips all students with essential health informatics skills for their respective healthcare careers, with an exit survey planned to evaluate and improve the course's effectiveness.

I lead research and health workforce data analysis to support evidenced based state and sub-state (regional) health workforce development. My team acquires data and conducts quantitative and qualitative data analyses to inform workforce short and long-term workforce supply, demand, and pipeline trends. We generate evidence-based data and insights to support the state and regional partnership strategies for health workforce growth. Key responsibilities include robust data curation, performing supply and demand gap analyses, forecasting workforce trends, and providing metrics to support evaluation of health workforce development interventions.

My research extends to the field of sports medicine. I investigate predictors of prolonged recovery time in multi-sport middle school athletes and factors associated with concussion diagnoses in this population.

I worked in conjunction with New York University School of Medicine. We examined the relationship between key community factors pertaining to the food and housing environment and 3 outcomes: diabetes, obesity and discordance between county-level diabetes and obesity prevalence, an approach that allows us to examine unique contextual risk factors for each condition.

With HAP graduate students, in collaboration with the Side-Out Foundation and the College of Science, I developed MBC portal created to capture a large array of information from the Side-Out sponsored studies, a continuum of trials where cutting-edge technologies are used to identify molecular alterations in individual tumors and devise personalized treatments for metastatic breast cancer patients outcomes. Register for access to data.

SBIRT is an evidence-based public health approach for the early identification and early intervention of substance misuse and co-occurring problems, awarded by Virginia's Department of Behavioral Health and Developmental Services, Substance Abuse and Mental Health Services Administration (SAMHSA). As a data scientist I am working with data anomalies, implementation and model development.

I worked in conjunction with the Providence Dept. of Veteran Affairs (VA) Medical Center. Using a national VA cohort of patients with Clostridium difficile infection (CDI), we are conducting a retrospective cohort study to describe clinical characteristics and outcomes associated with CDI.

I worked in conjunction with New York University. The objectives of this application are to determine the risk of Diabetes attributable to PTSD among veterans and to explore potential remediable factors that drive this risk.