Dr. Lindsey Rosman PhD
Dr. Rosman is a Data Scientist and Licensed Clinical Health Psychologist. As Co-Director of the UNC Cardiovascular Device and Data Science Lab, her highly interdisciplinary research focuses on the intersection of cardiovascular medicine, electrophysiology, data science, behavioral medicine, bioengineering, and biostatistics.
Dr. Rosman’s research program centers on using advanced data science methodologies to transform how we prevent, detect, and treat cardiac arrhythmias and other heart conditions by making complex health data more accessible, interpretable, and actionable for patients and their healthcare teams. Her work leverages machine learning and artificial intelligence to create innovative informatics tools that aggregate and simultaneously analyze complex health data from diverse sources, including wearable devices, implanted biosensors, cardiac devices, and electronic health records, to create AI-powered tools that can predict which patients are at highest risk for heart problems and suggest personalized prevention strategies. As a practicing psychologist in cardiology, she also understands that even the most advanced technology is only effective if patients and healthcare providers will actually use it. Thus, her work incorporates evidence-based strategies to ensure that new digital health tools are designed in ways that patients find helpful and that doctors can easily integrate into their daily practice.
Dr. Rosman’s research is supported by funding from the National Institutes of Health and industry collaborators. Her recently completed NHLBI K23 Career Development Award focused on developing computationally efficient algorithms for processing physiological sensor data from implanted cardiac devices, establishing foundational methodologies for large-scale cardiovascular data analysis. Additionally, as the PI of the UNC Cardiovascular Device Surveillance Registry, Dr. Rosman oversees one of the nation’s largest prospective clinical research registries, encompassing over 18,000 patients with implanted cardiac monitors, pacemakers, and ICDs across diverse demographics (44% women; ages 5-103 years). This comprehensive dataset supports multiple research studies, including the development of AI enabled tools, mechanistic studies of cardiovascular therapeutics, epidemiological investigations of psychosocial and environmental CVD risk factors, and methodological research developing novel statistical approaches for causal inference in observational studies through target trial emulation. Dr. Rosman also serves as PI and Co-I on prospective cohort studies and randomized controlled trials examining the real-world impact of consumer wearable devices on healthcare utilization patterns and psychological wellbeing among cardiovascular patients. Ongoing work includes intervention studies designed to optimize patient adherence to remote monitoring technologies.