Roger S. Day
Associate Professor
Department of Biomedical Informatics
University of Pittsburgh
France
Biography
Day leads the Educational Resource for Tumor Heterogeneity, and continues the evolution of the Oncology Thinking Cap computer modeling facility. These projects use stochastic models of tumor growth to help cancer researchers do thought experiments about cancer biology and treatment, with the goal of improving translational research resources. Interpreting dose information from disease-free survival curves in adjuvant breast cancer treatment; tracking genetic evolution of breast cancers through molecular studies of individual cells in tumor cell samples and through modeling. Statistical modeling of events and effects in biology and medicine, development of methods more effective than the usual linear modeling.
Research Interest
Cancer & oncology Research Modeling Statistical modeling of events and effects in biology and medicine
