The University of Texas MD Anderson Cancer Center
Departments of Translational Molecular Pathology and Neurosurgery
The Computational Pathology Program (CPP) in the Department of Translational Molecular Pathology is a focused initiative aimed at research and discovery to enable the emerging concepts of precision pathology and medicine using data science and computational algorithms. A major goal of this program is to apply statistical and computational principles to develop novel biomarkers as well as performing image-based data analysis and analytics for elucidating and predicting biological and clinical variables that underlie cancer types and mechanisms. CPP strives to identify critical molecular markers, signatures, and mechanisms through appropriate statistical analysis and data integration schemes, including clinical and omics data. Achieving this goal is aligned with the idea of personalized and precision medicine approaches to treat cancer at MD Anderson Cancer Center.
CPP’s overarching mission is to: 1) establish The University of Texas MD Anderson Cancer Center as a pioneer in discovery and characterization of disease types using statistical image analysis techniques, and 2) define a new paradigm in computational pathology through the application of data analytical and geospatial algorithms in research and discovery of biomarkers with the aim of translating the results into clinical practice. In alignment with the mission of the Department of Translational Molecular Pathology and the MDACC at large, CPP also has three core components to the mission: research, education, and service.
Education & Training
PhD, Texas A&M University College Station, 2008