Matteo Sesia

Matteo Sesia

Statistician and Data Scientist. Assistant Professor at the University of Southern California.

Teaching

GSBA 524, Data Science for Business

Graduate course, University of Southern California, 2025

Enrolled students can find all course information in the relevant USC Brightspace page.

Predictive uncertainty in ML with conformal inference

Graduate course, University of Torino and Collegio Carlo Alberto, 2023

This is a short but intensive course on cutting-edge distribution-free methods for predictive inference using complex machine learning algorithms. This course will cover both the theory and practice of distribution-free predictive inference. Computer-based sessions will focus on hand-on implementations of the described methods using the Python programming language (students will be assumed to have some familiarity with Python), and on applications to real data.