Noemi Corsini

Noemi Corsini is a Research Associate in Statistics at the Institute of Criminology, University of Cambridge. She holds a PhD in Statistical Sciences (2021-2024) from the University of Padova, Italy, and completed her bachelor's and master's degrees in Statistical Sciences at the University of Bologna, Italy.

Her research focuses on statistical modeling, particularly in clustering complex data structures, density-based clustering, latent variable models, and Bayesian inference. She develops methodologies for identifying overlapping clusters in high-dimensional network data and has contributed to advancements in computational statistics for multivariate count data.

Key trends in her publications include:

• Extending Bayesian stochastic block models for overlapping cluster detection in biographical networks (2024)
• Addressing overdispersion in multivariate count data (2022)
• Investigating tourism participation patterns through statistical analysis (2023)
• Creating meta-frontier efficiency models for the insurance industry (2024)
• Advancing modal clustering techniques for categorical/mixed data (2023)

Her technical expertise spans R, Python, and STATA, with fluent Italian and English communication skills.