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.