Marina Vannucci

WEBSITE(S)| Dr. Vannucci's website

Dr. Vannucci is Noah Harding Professor of Statistics. She is also an adjunct faculty member of the UT M.D. Anderson Cancer Center, TX.

Dr. Vannucci is generally interested in the development of Bayesian statistical models for complex problems and in applications to Science. She has contributed to methodological research on Bayesian variable selection techniques for linear settings, mixture models and graphical models, and to related computational algorithms. Her research is often motivated by real problems that need to be addressed with suitable statistical methods. She has a solid history of scientific collaborations and is particularly interested in applications of Bayesian inference to high-throughput genomics and to neuroscience and neuroimaging. Dr. Vannucci was the recipient of an NSF CAREER award in 2001. She is an elected Member of the International Statistical Institute (ISI), and an elected Fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), the American Association for the Advancement of Science (AAAS), and the International Society for Bayesian Analysis (ISBA). She holds a Laurea (B.S.) in Mathematics and a Ph.D. in Statistics, both from the University of Florence, Italy.

Research Areas

Bayesian statistics, variable selection, graphical models, statistical computing, wavelets. Applications in genomics, neuroimaging and engineering.

Education

Ph.D. in Statistics, University of Florence, Italy

Laurea (B.S.) in Mathematics, University of Florence, Italy

Advisory Role

2019-20 Graduate Advisor

Teaching Areas

Bayesian Statistics

Societies & Organizations

American Association for the Advancement of Science (AAAS)

American Statistical Association (ASA)

Institute of Mathematical Statistics (IMS)

International Statistical Institute (ISI)

International Society for Bayesian Analysis (ISBA)

Royal Statistical Society (RSS)

Honors & Awards

2021 Zellner Medal, International Society of Bayesian Analysis (ISBA)

2020 Outstanding Doctoral Thesis Adviser

2020-present Co-editor, Journal of the American Statistical Association - Theory & Methods

2014-19 Department Chair

2018 President, International Society for Bayesian Analysis (ISBA)

2013-15 Editor-in-Chief, Bayesian Analysis