Professor of Statistics, University of Torino

Scientific Director, “de Castro” Statistics Initiative

Coordinator for Statistics and Mathematics, Allievi Honors Program, Collegio Carlo Alberto

Deputy Coordinator, M.Sc. in Stochastics and Data Science, University of Torino


PhD in Statistics, Bocconi University, 2007

Research Interests

Bayesian nonparametric statistics, dependent random probability measures, infinite dimensional diffusions, measure-valued processes, interacting particle systems, optimal filtering, applications to economics and biology

Selected Works

  • Kon Kam King, G., Canale, A. and Ruggiero, M. (2019), Bayesian functional forecasting with locally-autoregressive dependent processes Bayesian Analysis 14, 1121-1141.
  • Costantini, C, De Blasi, P., Ethier, S.N., Ruggiero, M. and Spanò, D. (2017). Wright-Fisher construction of the two-parameter Poisson-Dirichlet diffusion. The Annals of Applied Probability 27, 1923-1950.
  • Papaspiliopoulos, O., Ruggiero, M. and Spanò, D. (2016). Conjugacy properties of time-evolving Dirichlet and gamma random measures. Electronic Journal of Statistics 10, 3452-3489.