Project Summary/Abstract Cardiovascular associated Advances the sensor exposures. easily analyzing conducting integrate issues focus and who and graduate, objectives workforce.” ability K24 data phenotypes health (CV) disease affects nearly half of all adult Americans. Although achieving “ideal CV health” i s with lower mortality nd morbidity, many individuals struggle with modifying CV health behaviors. in precision medicine offer promise in better targeting these behaviors to improve CV health. Over past decade, there has been exponential growth in digital data (e.g. social media, online search, remote measures) generated by individuals which reflects their health behaviors, attitudes, and environmental These data sources however are often not linked with validated measures, unprocessed, and not interpretable for use in research or clinical practice. My research portfolio has focused on collecting and CV focused digital data for insights, prediction, and clinical applications. My career focus is on high-impact atient-oriented research (POR) t o better understand how to best access, analyze and these data in a way that is patient-centered and highly applied. This includes work which focuses on related to privacy, security, and patient preferences. This K24 award will support protected time for me i ntently on: 1) implementing a research program to advance POR in CV health and digital data science 2) training a pipeline of investigators who are well trained in methodologies for conducting this work and will be future POR leaders i n this area of study. This proposal focuses on necessary steps for developing executing a comprehensive and structured mentorship program that will support mentees (undergraduate, fellow, faculty) for research and career development. This focus aligns with NHLBIs overarching in “data science” and “further developing, diversifying and sustaining a NHLBI focused scientific This proposal builds on my current NHLBI R01, R21, and Foundation grants and will support my to pursue career-oriented training in clinical trials, social media ethics, and academic leadership. This will also support two new areas of research: 1) building computational models using large digital media sets for population-level surveillance of modifiable CV health behaviors in real time, 2) developing patient reflecting use and engagement which can inform digital interventions to address modifiable CV behaviors. a p , The environment for this K24 is the University of Pennsylvania-a world renowned institution with extensive resources to support research at the intersection of medicine, computer science, communication, and engineering—fields critical for advancing this research and supporting interdisciplinary trainees. The areas of focus for this K24 represent new frontiers in precision medicine and digital phenotyping for CV health that can be advanced and led by well-trained interdisciplinary POR researchers.