Astrostatistics, Bayesian Statistics, Computational Neuroscience, Data Mining, Geometry and Statistics, Network Analysis, Probabilistic Graphical Models, Statistical Machine Learning, Topological Data Analysis
Ph.D. Statistics, Carnegie Mellon University, 2017
M.Sc. Statistics, Carnegie Mellon University, 2013
M.Sc. Economics and Social Sciences, Bocconi University, 2012
B.Sc. Economics, University of Catania, 2009
Dr. Vinci's current research is focused on the theory of probabilistic graphical models. He develops special forms of regularization for large scale graph estimation in challenging situations characterized by strongly corrupted data and incomplete pairwise data observations. He applies his methods to estimate neuronal functional connectivity graphs, which describe the functions of neuronal circuits, and to estimate massive genomic networks from single cell RNA-seq data. He also conducts research in geometric data analysis, in particular topological data analysis, and astrostatistics, and investigates problems of statistical reproducibility in scientific research.