## Research

My research interests revolve mainly around multivariate statistical models,
and, in particular, to graphical
models. A graphical model is a multivariate statistical model
that can be associated to a graph: nodes correspond to random variables
and missing edges to conditional independences. I am also
interested in marked point processes for event history analysis,
multilevel and mixture models in non-standard situations, and in their
connection with graphical models. I recently got involved in
metabolomics, data science and models for high-dimensional
data. As I love to be challenged by new topics, I have absolutely no
idea on what I'm going to do in my future.