Ticknock

Research

Data-related problems sparking my curiosity are constant sources of fresh ideas for my research. I’m especially interested in developing novel data analysis approaches starting from application-motivated problems. My current work is focused on latent variable and mixture models in application to high-dimensional and complex data.

Interests

  • Latent variable models
  • Model-based clustering and classification
  • Variable selection and dimension reduction
  • Graphical models


Recent events

2019 February Statistics Seminar Series – Maynooth University, Ireland
Invited talk: The infinite latent position cluster model for multivariate networks
2018 December CMStatistics – University of Pisa, Italy
Invited talk: Model-based clustering with sparse covariance matrices
2018 November Statistics Seminar Series – University of Bristol, UK
Invited talk: The infinite latent position cluster model for multivariate networks