COPA 2025
Our team received both the best paper award and the best poster awards at COPA 2025.
I am an Associate Professor (with tenure) in the Department of Data Sciences and Operations at the USC Marshall School of Business, with a courtesy appointment in Computer Science at the Viterbi School of Engineering.
Before joining USC, I earned a Ph.D. in Statistics at Stanford University in 2020, advised by Emmanuel Candès. I am originally from Italy, where I studied at Politecnico di Torino and Collegio Carlo Alberto.
I develop statistical methods for analyzing complex, high-dimensional data using modern machine learning models. I am particularly interested in distribution-free and model-agnostic approaches that can produce precise statistical inferences under defensible assumptions. I sometimes also work as a consultant and expert collaborator in both academic and industry settings, helping to design reproducible data analyses, quantify uncertainty in complex models, and communicate results clearly to diverse audiences.
Our team received both the best paper award and the best poster awards at COPA 2025.
Received a Google Research Scholar award.
Two papers accepted at ICML 2025, of which one spotlighted (top 2.6% of submissions).