Francesco Stingo is associate professor of Statistics at the University of Florence and belongs to DiSIA (Department of Statistics, Computer Science, Applications “G. Parenti”). He 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, he 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 he held the position of Assistant Professor for 5 years. Dr. Stingo has published more than 80 articles in international journals (including Journal of the American Statistical Association, Journal of Machine Learning Research, Biometrics, Annals of Applied Statistics, Statistics in Medicine, Statistics and Computing) and has been invited as a speaker at more than 30 national and international conferences. The project Understanding genomic networks in pan-cancer and multi-platform data: novel Bayesian methods for multiple and matrix-variate networks presented by Dr. Stingo was funded by MIUR in the context of the “Rita Levi Montalcini” program for the recruitment of young researchers; he received an Honorable Mention for the 2021 Young Scholars Award for Contributions to Statistical Disciplines from the Italian Society of Statistics. Dr. Stingo serves as Associate Editor for the international journals Bayesian Analysis, Biometrical Journal, Electronic Journal of Statistics and Statistical Methods and Applications.