The School of Nursing's Research Seminar Series, presented by the Office of Research and Innovation, showcases innovative nurse-led research, facilitates networking, and provides a platform for engaging discussions across disciplines.
All events are held over Zoom and registration is required. Links are distributed approximately four weeks before each event.
Events for the 2025-26 academic year are listed below. If you would like to be notified of all School of Nursing Office of Research and Innovation events, please email theresa.wenz@stonybrook.edu to be added to our email list.
Fall 2025 Events
"Sample Size Selection: Methodological Considerations for Ensuring Statistical Power in Quantitative Research"
Tuesday, October 21, 2025
12 to 1 pm
Presented by Kenneth M. Faulkner, PhD, RN, ANP, FHFSA, clinical associate professor and director of the Accelerated and Basic Baccalaureate Nursing programs at Stony Brook University School of Nursing. His research explores causative agents behind differences in cognitive function among people with heart failure, utilizing latent variable modeling techniques and psychometric analyses.
"Responsible Artificial Intelligence: Promoting Health Equity for All"
Tuesday, November 18, 2025
12 to 1 pm
Presented by Michael P. Cary, Jr., PhD, RN, FAAN, tenured associate professor at the Duke University School of Nursing. Dually trained as a health services researcher and applied health data scientist, Dr. Cary utilizes AI to investigate health disparities in aging populations, and co–directs HUMAINE™, an initiative dedicated to equipping nurses and healthcare professionals with the knowledge and skills for responsible use of AI in clinical practice.
"The Heterogeneity of Depression: Challenges in Measurement and Implications for Research"
Tuesday, December 9, 2025
12 to 1 pm
Presented by Nicole Beaulieu Perez, PhD, RN, PMHNP–BC, assistant professor of nursing at NYU Rory Meyers College of Nursing. Her research examines the social and biological roots of depression in women with chronic conditions, particularly women living with HIV. Dr. Perez’s interdisciplinary work integrates her expertise in clinical psychiatry, ‘omics,’ and advanced statistical methods to parse distinct depression phenotypes.
