Teaching
Mentoring
I have had the pleasure of supervising the following students under the E3 Program at EPFL.- Fatima Ghadieh, BS, American University of Beirut, Lebanon - Summer 2022
- Ching-Fang Li, MS, National Taiwan University, Taiwan - Summer 2022
- Mert Cemri, BS, Bilkent University, Turkey - Summer 2022
- Elyas Benyamina, MS, Université Pierre et Marie Curie (UPMC), France - Summer 2023
- Eduardo Faria Cabrera, BS, University of Sao Paulo, Brazil - Fall 2023
Teaching Assistant at EPFL
- Information, Computation and Communication (BS): Fall 2021, 2023
An introductory course in computation, communication, and information systems for all first year students at EPFL.
[Coursebook] - Adaptation and Learning (MS): Spring 2022
This course covers the foundations of decision-making and learning from data theories, with practical applications.
[Coursebook] - Advanced Machine Learning (MS): Spring 2021
An advanced course in machine learning, this course covers spectral and kernel methods, non-linear classification and regression, reinforcement learning and hidden Markov models.
[Coursebook] - Large-Scale Data Science for Real-World Data (MS): Spring 2020
A hands-on course to expose students to the entire data science pipeline, from researching solutions to scaling up prototypes to Spark clusters.
[Coursebook] - Analysis I (BS): Fall 2020
A first year course on analysis, calculus and the integral of real-valued functions of a real variable (in French).
[Coursebook]