I'm an assistant professor at IMPA. My research is focused on the interplay between statistics, probability, and computation. On the theory side, I am interested in high-dimensional Bayesian models, Monte Carlo methods and robust mean estimation. On the applications side, I have been using machine learning to extend weather forecasts into the subseasonal realm. I enjoy working on both theoretical and applied projects, and find them to often illuminate each other.

Before coming to IMPA, I obtained a PhD in Statistics at Stanford University, advised by Persi Diaconis, and received a Masters in Mathematics and BSc in Economics, both from PUC-Rio, in Brazil. I also spent a quarter at Google Research and another at Meta Reality Labs.