Julie Shen

Julie Shen is a graduate student in mechanical engineering, advancing new strategies for monitoring and managing cardiogenic shock through real-time physiological analytics. Her research focuses on dynamic heart-device interactions, utilizing mechanical circulatory support systems, such as the Impella CP, to capture beat-to-beat hemodynamic data. By developing a trajectory vector framework that maps changes in cardiovascular state over time, Julie aims to improve the personalization and timing of intervention for patients with acute heart failure. MATLAB is central to every phase of her research, from ECG signal processing and pressure-volume loop analysis to clustering, circular statistics, and polar vector visualization. She employs toolboxes for signal processing, curve fitting, and image analysis to extract physiological metrics and validate their clinical significance. Julie’s work could reshape how critical care decisions are made, moving from static snapshots to dynamic, responsive management informed by high-frequency data, offering a new lens through which to understand and treat life-threatening cardiac conditions.