Functional Analysis
Ph.D. course, OIST, 2025
Teaching
Information Theory (for Data Science)
Ph.D. course, ISTA, 2023
I co-taught (along with Marco Mondelli) the Ph.D. class on Information Theory (for Data Science). The class covered a variety of classical and more modern results with an information-theoretic flavor. More precisely we covered: Information measures, compression, prediction, estimation, large deviations (Sanov style), multi-armed bandits, exponential families, exploration bias and generalisation error.
COM-102, Advanced information, computation, communication II
Undergraduate course, EPFL, 2021
I have been head Teaching Assistant for Advanced information, computation, communication II (AICC2) for two years in a row: spring 2021 and spring 2022. AICC2 is a large undergraduate class (~300 students) with meaningful challenges. Its purpose is to expose first year bachelor students to applied probability theory, information theory, coding theory and cryptography. I was in charge of leading the teaching assistants team (2 PhD students, 10/12 bachelor/master students), coordinating the homework, exam, etc.
CS-119, Information, Computation, Communication
Undergraduate course, Life sciences, EPFL, 2020
EL-205, Signals and systems
Undergraduate course, EPFL, 2020
COM-406, Foundations of Data Science
Graduate course, EPFL, 2019
COM-417, Advanced Probability And Applicaitons
Graduate course, EPFL, 2019
CS-119, Information, Computation, Communication
Undergraduate course, Life sciences, EPFL, 2018
COM-512, Networks out of control
Graduate course, EPFL, 2018