teaching

I teach tutorial classes to both undergraduate and graduate students at ENSAE – Insititut Polytechnique de Paris. Some graduate courses I am a teaching assistant for are part of the Data Science MSc at École Poltechnique. By the end of my Ph.D., I will have taught a total of 192 hours of tutorial sessions. Below are the courses I am currently teaching, or I taught, in reverse chronological order:

Computational Optimal Transport, Spring 2023, 2024
Graduate course taught by Marco Cuturi, 70 students.
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Deep Learning: Models and Optimization, Spring 2023, 2024
Graduate course taught by Marco Cuturi, 50 students.
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Statistical Learning Theory, Fall 2023
Graduate course taught by Austin Stromme, 30 students.
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Probability Theory, Spring 2022
Undergraduate course taught by Victor-Emmanuel Brunel, 30 students.
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Functional and Convex Analysis, Fall 2021, 2022
Undergraduate course taught by Laurent Decreusefond, 30 students.
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Theoretical foundations of Machine Learning, Spring 2022
Undergraduate course taught by Vianney Perchet, 30 students.
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Simulation and Monte Carlo, Spring 2022
Undergraduate course taught by Nicolas Chopin, 30 students.
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Applied Statistical Learning, Fall 2021
Graduate course taught by Mohamed Hebiri, 50 students.
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