Biography
Dr Beatrice Franzolini is a Lecturer in Statistics in the Department of Mathematics, at King’s College London.
Her research develops the probabilistic foundations and computational methods for the analysis and prediction of complex and structured data. A particular focus of her work is the construction and representation of dependence structures beyond classical exchangeability, in which symmetry properties are used as modelling principles to reflect the structure of the data.
Her work encompasses Bayesian nonparametrics, dependent random probability measures, random partitions, dynamic and high-dimensional models, and scalable Bayesian computation. It spans theory, methodology and applications, including biostatistics, behavioural science, financial data and network analysis.
Beatrice received her PhD in Statistics from Bocconi University. She subsequently held research positions at the Agency for Science, Technology and Research and the National University of Singapore, followed by academic positions at Bocconi University and the University of Milano-Bicocca, before joining King’s in 2026.
Her contributions to statistics have been recognised with several early-career awards, including the 2025 Blackwell-Rosenbluth Award and the 2024 IMS New Researcher Travel Award.
Research Interests
- Bayesian inference, particularly nonparametric methods
- Random partitions and generalised exchangeability
- Dependent random probability measures and species sampling models
- Dynamic, network and high-dimensional models
- Scalable Bayesian computation
Further information
Research
Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.
Research
Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.