My work focuses on Bayesian statistics in complex, high-dimensional problems with applications ranging from finance to genomics. Here are some key aspects of my current research:

Modern statistical and machine learning tools for causal inference;

Dimensionality reduction and interpretatibility in high-dimensional models;

Advanced statistics and econometrics in asset pricing problems;

Time series and dynamic models.