Chengyue Wu

The value of computational modeling in precision cancer healthcare cannot be overstated. Emerging developments in cancer assessment techniques and therapeutics offer numerous opportunities to detect cancers earlier, monitor responses more accurately, and manage cancers with better outcomes. With these increasing opportunities, however, comes a heightened complexity in decision-making for identifying interpretable diagnostic and prognostic markers or planning optimal treatments for individual patients. Without computational approaches powered by both mechanism-informed modeling and statistical analysis, interpreting essential information from high-dimensional data such as imaging and systematically evaluating various therapeutic options would be extremely challenging. At MD Anderson, Dr. Chengyue Wu's research focuses on integrating advanced medical imaging techniques, image analysis approaches, and computational modeling to accelerate the advent of personalized cancer healthcare. Projects in Dr. Wu's lab encompass three main themes: 1. Developing image-guided mathematical models to represent the mechanisms of tumor growth, tumor-associated vasculature and microenvironment, systemic drug delivery, and therapy-induced responses. 2. Advancing numerical algorithms to enable efficient digital twin implementation for response prediction and optimization with quantified uncertainty. 3. Developing longitudinal image processing, multi-modal data integration, and statistical approaches to improve early detection and prognosis of breast cancer.