Francesco C. Stingo

Short bio:

I am a Professor of Statistics in the Department of Statistics, Computer Science, Applications “G. Parenti” at the University of Florence. I obtained a PhD in Applied Statistics in 2010 (thesis awarded by the Italian Statistical Society as the best doctoral thesis in Applied Statistics in the years 2009-2010). Before moving to the University of Florence, I worked at Rice University (USA) for three years in the Statistics department and subsequently in the Biostatistics department of the University of Texas MD Anderson Cancer Center (USA), where I held the position of Assistant Professor for 5 years. 

I have published more than 80 articles in international journals (including the Journal of the American Statistical Association, Journal of Machine Learning Research, Biometrics, Annals of Applied Statistics, Statistics in Medicine, Statistics and Computing) and have been invited as a speaker at more than 40 national and international conferences. My project "Understanding genomic networks in pan-cancer and multi-platform data: novel Bayesian methods for multiple and matrix-variate networks" was funded by MIUR in the context of the "Rita Levi Montalcini" program for the recruitment of young researchers; I received an Honorable Mention for the 2021 Young Scholars Award for Contributions to Statistical Disciplines from the Italian Society of Statistics. 

I'm the PI of the 2022 PRIN project COMBINERS and the coordinator of the Statistics curriculum of the PhD program in Mathematics, Computer Science, and Statistics jointly offered by the University of Florence and the University of Perugia.

My main research interests concern methodological aspects relating to Bayesian models for the analysis of large data (graphical models, hierarchical models, variable selection, non-linear models), with applications in the bio-medical field (genomics, personalized medicine, early diagnosis, image data).