Winter 2024
- IFT 6166: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Fall 2023
- IFT 3395 / IFT 6390A: Fondements de l'Apprentissage Machine (undergrad/grad class)
Winter 2023
- IFT 6166: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Fall 2022
- IFT 3395 / IFT 6390A: Fondements de l'Apprentissage Machine (undergrad/grad class)
Winter 2022
- IFT 6760A: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Fall 2021
- IFT 3395: Fondements de l'Apprentissage Machine (undergrad class)
Winter 2021
- IFT 6760A: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Fall 2020
- IFT 3395: Fondements de l'Apprentissage Machine (undergrad class)
Winter 2020
- IFT 6760A: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Winter 2019
- IFT 6760A: Matrix and tensor factorization techniques for machine learning (grad seminar class)
Fall 2018 / Fall 2019
- IFT3395: Foundations of Machine Learning (undergrad course)
2016-2017
McGill Univesity - Fall semester
- Lecturer, COMP-652: Machine Learning graduate course (co-teaching with Riashat Islam).
McGill Univesity - Winter semester
- Lecturer, COMP-652: Machine Learning graduate course (co-teaching with Doina Precup).
2015-2016
Ecole Centrale Marseille
- Teaching Assistant, Algorithmic (1st year)
- Teaching Assistant, Databases (2nd year)
- Lecturer, Big Data (3rd year)
2014-2015
Ecole Centrale Marseille
- Teaching Assistant, Algorithmic (1st year)
- Lecturer, Data Science (3rd year)
2013-2014
Ecole Centrale Marseille
- Teaching Assistant, Algorithmic (1st year)
- Teaching Assistant, Databases (2nd year)
- Lecturer, Introduction to Big Data and Machine Learning (3rd year)