Research

In contemporary science, I find statistics to be an essential tool to understand phenomena, and to draw reliable conclusions. My research focuses on developing new theory and methods that integrate state-of-the-art ML prediction algorithms into stable inferential frameworks, mainly through the lens of semiparametric statistics. I am also broadly interested in the analysis of large and complex data, with particular emphasis on structured objects such as functional data and networks. My work is often inspired by problems in causal inference or interdisciplinary collaborations with researchers in the sciences.

Some projects

These are some of the projects I have (somehow recently) been working on:

You can find my publication record in my CV and on my Google Scholar profile.