معرفی
Carlo Berzuini is a Research Professor in Biostatistics at the University of Manchester, UK, since 2011. Prior to this, he held a Professorship at the University of Pavia (1983–2008) and was part of the Cambridge Faculty of Mathematical Sciences (2008–2011). He co-organized a landmark international conference on Causal Inference and co-edited a seminal book on Statistical Causality (Wiley). His research spans interdisciplinary applications in top-tier journals like Nature Genetics and Biometrika, focusing on causal inference, Bayesian modeling, and genetic epidemiology.
Research Interests: Berzuini’s work bridges theoretical statistics and applied biomedical research, with a focus on Mendelian randomization, causal inference, and computational methods. He has contributed to statistical methodologies for handling confounding in observational studies and developed software tools in R/Stan.
Grants & Collaborations: He led European research projects, served on the Royal Statistical Society Council, and collaborated with prominent statisticians like D. Cox and A.P. Dawid. His Bayesian approach to Mendelian randomization, published in Biostatistics, addresses pleiotropy in genetic studies.
Teaching: Taught advanced courses on biostatistics, Bayesian modeling, and causal inference at institutions including Cambridge, Manchester, and Pavia. His instruction targets statisticians, medical researchers, and computer scientists.
Software: Authored R/Stan packages for Mendelian randomization analysis. Actively reviews for journals via Publons and evaluates grants for the MRC and NIHR.
