Alessandro Gasparini is a biostatistician with substantial experience in working with real-world evidence studies and a strong background in survival analysis, longitudinal data analysis, multilevel modelling, and computational statistics, including methods development. He is passionate about building tools to enable more efficient and reproducible data analysis pipelines and to bring modern statistical methods to practice. To that end, he has developed R packages that have been downloaded thousands of times from the Comprehensive R Archive Network (CRAN) and he is a member of the American Statistical Association Biopharmaceutical Section Software Engineering Working Group (ASA BIOP SWE WG). Alessandro joined Red Door Analytics in November 2022 as a Senior Biostatistician.
PhD in Biostatistics, University of Leicester, UK, awarded in 2020 with a thesis titled Multilevel Modelling of Electronic Health Records
MSc in Biostatistics and Experimental Statistics, University of Milano-Bicocca, Italy, 2015
BSc in Statistics and Computing Technologies, University of Padua, Italy, 2012