Roger Pallares Lopez

Roger Pallares Lopez is a graduate student in mechanical engineering, developing deep learning–based tools to quantify musculoskeletal tissue motion from ultrasound imaging. His research addresses the global challenge of musculoskeletal disorders by improving the ability to assess movement quality and soft tissue dynamics in clinical and athletic settings. As a MathWorks Fellow, Roger will adapt vision foundation models to segment and track musculoskeletal structures, such as muscles, bones, and fascia, from b-mode ultrasound videos, marking a major step forward in noninvasive internal elastic tissue analysis. To support this work, he uses k-Wave and MATLAB’s Signal and Image Processing Toolboxes to simulate tissue deformation, model probe behavior, and generate synthetic training data that strengthens model performance. His research could enable new methods for injury prevention, rehabilitation, and movement efficiency assessment, transforming how we evaluate and optimize human motion using wearable ultrasound and AI-powered analysis.