My methodological interests are in survival analysis,  statistical modelling, statistical learning and smoothing. My applied research covers topics ranging from cancer mortality to partnership's trajectories. Recently I developed an interest in applications of statistical learning methodologies, like statistical boosting, to modelling event history processes. 

Before starting my PhD in Statistics, I worked as a Statistical Analyst for the research group Gender Gaps in Health and Survival. During this period, I conducted research based on the Danish register data, focusing on health patterns at the end-of-life and gender differences in mortality. I have also investigated how the marital age difference is associated with women's income. The results of these projects are published in high-ranked demographic and public health journals.

As statistician I have the incredible privilege to be able to study very different, seemingly unrelated, topics; in my master thesis I studied earthquakes! Nowadays, I mostly study humans... 

From December 2020 to November 2021 I was on maternity leave, after having welcomed my son Luca.