Computational Biomedical Engineering harnesses the world-class computational facilities at UT Austin to analyze and solve complex challenges in medical science and healthcare technologies. Our work involves employing mathematical modeling, simulations, data analysis, and algorithm development to understand normal and disease physiological processes at the molecular, cellular, tissue, and organ scales. This includes development of novel simulation-based methods for diagnosis and treatment and medical device development to improve healthcare outcomes. Our approaches include both physics-based and data-driven methods. Our strengths are focused on four main areas: computational oncology; computational cardiology; multiscale modeling & simulations; and biomedical informatics, artificial Intelligence, and machine learning.
