Teaching
teach in both the Computer Science and Mathematics departments, primarily
focusing on the fundamentals of machine learning and data analysis. Additionally,
I occasionally deliver guest lectures in Master and PhD programs as well as
at summer/winter schools. Below, you will find a list of my teaching activities.
Ongoing Courses
- Lecturer in “Privacy and algorithmic fairness” 2023 - present
Msc in Mathematics - Sorbonne University
- Lecturer in “Basics of Data Analysis” 2023 - present
Msc in Mathematics - Sorbonne University
Guest Lectures and Summer/Winter Schools
- Guest Lecturer in “Distributed Algorithms” 2021 -2024
Msc/PhD in Computer Science - École Polytechnique Fédérale de Lausanne
- Guest Lecturer in “Introduction to Trustworthy Federated Learning” 2023
Msc/PhD Cofund IA for the Sciences program - PSL University
- Inria-DFKI European Summer School on AI 2022
Talk: Are neural networks getting smarter? SOK on adversarial examples in machine learning
- Probabilistic Numerical Methods for Machine Learning Summer School 2022
Talk: Demystifying Byzantine robust machine learning
- BNPP AI Summer School on Trustwothy Machine Learning 2022
Talk: Trustworthy machine learning through randomization
Past Courses
- Lecturer in “Trustworthy Machine Learning” 2019 - 2020
Executive Master in Computer Science - Université Paris Dauphine-PSL
- Lecturer in “Mathematics of Data Science” 2019 - 2020
MSc in Computer Science - Université Paris Dauphine-PSL
- Teaching Assistant in “Machine Learning” 2017 - 2020
MSc in Computer Science - Université Paris Dauphine-PSL
- Teaching Assistant in “Calculus” 2017 - 2018
BSc in Applied Mathematics - Université Panthéon-Sorbonne