Giuseppe Vinci

Assistant Teaching Professor

Applications (AI and Machine Learning) , Applied & Interdisciplinary Statistics (Statistics and Data Science), High-dimensional statistics and inference (Statistics and Data Science), Methodology & modeling (Statistics and Data Science), Optimization and Algorithms (AI and Machine Learning) , Scientific ML and AI (AI and Machine Learning), Statistical theory (Statistics and Data Science), Theoretical Foundations (AI and Machine Learning)

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), astrostatistics, extreme value theory, forensic statistics, and investigates problems of statistical reproducibility in scientific research.