Dr. Francesco C. Stingo
The University of Texas MD Anderson Cancer Center
Department of Biostatistics
- Bayesian variable selection
- Data integration
- Graphical models
- High-dimensional data
- Models for sample selection bias
- Wavelet-based statistical methods
My main research goal is to design statistical models for analyses of multivariate data arising from high-throughput biomedical studies and to create novel coherent probabilistic models that allow for the integration of several types of data. Data integration is meant as the integration of several studies, the integration of several platforms and the integration of external and experimental information. The value of the methods I have developed is that they can provide new insights into the analysis of experimental data, test new types of hypotheses, take into account and estimate complex dependence structures among several variables, and in general provide a better understanding of the biological processes involved in the development of cancer. These methods facilitate the identification of new findings that can be useful for early cancer prognosis and for developing new targeted treatments, and will eventually give rise to more accurate predictive models.
A tutorial in our laboratory would provide advanced training in state-of-the-art statistical methods, advanced mathematical modeling and computer programming and software development.