Dr. Vannucci is generally interested in the development of statistical models for complex problems. Her methodological research has focused in particular on the theory and practice of Bayesian variable selection techniques and on the development of wavelet-based statistical models and their application. She has also done recent work is in the area of graphical models. Dr. Vannucci's research has often been motivated by real problems that needed to be addressed with suitable statistical methods. Methodologies developed by Dr. Vannucci have found applications in chemometrics and, more recently, in high-throughput genomics and in neuroimaging. Dr. Vannucci has also an interest in structural bioinformatics and, in particular, on the important problem of protein structure prediction.
Publications/Creative Works
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Affiliations
Research Consortia
Gulf Coast Cluster for NeuroEngineering
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fello
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