Other

Conferences - Workshop

• NEXT Computational and Methodological Statistics (CMStatistics), Dec 2025, London, UK.

  Invited talk

• Classification and Data Analysis (CLADAG), Sep 2025, Naples, IT.

  Invited talk: A Flexible Latent Dirichlet Model for Modeling Taxa Communities

• Bayesian Nonparametric (BNP) meeting, Jul 2025, Los Angeles, US.

  Contributed talk: Local Level Dynamic Random Partition Models For Changepoint Detection

• Computational and Methodological Statistics (CMStatistics), Dec 2024, London, UK.

  Invited talk: Co-clustering ordinal data with informative censoring.

• BAYSM -ISBA (International Society for Bayesian Analysis), June 2024, Venice, Italy.

  Poster session: Changepoint detection with random partiton models

• SIS (Italian Society of Statistics), June 2024, Bari, Italy.

  Contributed talk: Microbiome enterotype detection via a latent variable allocation model

• Computational and Methodological Statistics (CMStatistics), 2023. Berlin, German.

  Invited talk: Changepoint detection with random partiton models.

• Workshop - Approximation Methods in Bayesian Analysis, 2023. CIRM, Marseille, France.

  Talk and poster: A Bayesian Method for Co-clustering Multivariate Ordinal Data with Informative Censoring.

• ASMDA (Applied Stochastic Models and Data Analysis), 2023. Heraklion, Crete, Greece.

  Talk: A flexible generalization of the Latent Dirichlet distribution.

• OBayes (Objective Bayes Methodology Conference), 2022. Santa Cruz, CA, U.S.

  Poster session: A Bayesian Method for Co-clustering Multivariate Ordinal Data with Informative Censoring.

• COMPSTAT (Computational Statistics), 2022. Bologna, Italy.

  Talk: LEFDA: An extension of the classical Latent Dirichlet Allocation.

• ISBA (International Society for Bayesian Analysis), 2022. Montreal, Canada.

  Poster session: A Bayesian Method for Co-clustering Multivariate Ordinal Data with Informative Censoring.

Ph.D. projects

• Gradient - R package: R package to calculate the gradient of a function.

• Post selection inference fMRI Data: visualization of active area in a brain during an experiment.

• Forest Fire Bayesian Analysis: an analysis of the burnt area for forest fires in Portugal.

M.Sc. projects (Italian)

• Outlier detection with different models(R language);

• Fraud detection (Knime, R).