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
- Statistical network analysis
Recent events
2021 April | Zoominar – Mitchell Centre for Social Network Analysis, UK Invited talk: Model-based clustering for multidimensional networks: An application to a terrorist network in Southeast Asia |
2020 November | MSI Webinar Series – UniversitĂ© CĂ´te d’Azur, France Invited talk: A stochastic block model for interaction lengths |
2019 December | CMStatistics – University of London, UK Invited talk: Variable role screening for high-dimensional discriminant analysis |