Welcome to my personal web page!

I am a postdoctoral researcher in Statistics at the Department of Statistics and Data Sciences at the University of Texas at Austin, under the mentorship of Peter Müller and Abhra Sarkar. I am also a member of the Bayes Lab at the Bocconi Institute for Data Science and Analytics (BIDSA) and of the Complex Data Modeling Research Network led by MiDas.

Previously, I was a Ph.D. student in Statistics at Bocconi University, under the supervision of Antonio Lijoi and Igor Prünster.

Research interests

I am interested in Bayesian modeling of complex data structures. More specifically I have been working on:

  • Bayesian nonparametrics: discrete random probabilities, mixture models, random partitions and probabilistic clustering.

  • Bayesian modeling for binary and categorical data: dynamic regression for binary time series, hidden Markov models, drift diffusion models and Bayesian categorical regression.

  • Probabilistic dimensionality reduction: Bayesian multidimensional scaling and individual difference scaling analysis.

  • Computational statistics: Monte Carlo, Markov chain Monte Carlo, sequential Monte Carlo methods and variational inference.

  • Applications: auditory neuroscience, genomics and proteomics.

e-mail: rebaudo.giovanni@gmail.com

News and upcoming events

  • IISA 2022 (Bengaluru, Dec 26 - 30, 2022):
    • I will present the work Ascolani, F., Lijoi, A., Rebaudo G. and Zanella G. (2022+) Clustering consistency with Dirichlet process mixtures, Biometrika. [arXiv]