Teaching

École Nationale Supérieure des Mines de Nancy

Data Analysis with R
2023/2024, 2024/2025
Course directed by Sandie Ferrigno and Yannick Toussaint
Teaching assistant for Master 1 common core practical sessions. Covered key data analysis techniques including inferential statistics, regression, PCA, correspondence analysis, clustering, discriminative models, and association rules.

Introduction to Machine Learning
2023/2024, 2024/2025, 2025/2026
Course directed by Frédéric Sur
Teaching assistant for Master 1 common core practical sessions. Topics included regression models (linear, ridge, lasso), $k$-nearest neighbours, clustering with $k$-means, SVMs, and neural networks.

Introduction to Deep Learning
2023/2024
Course directed by Parisa Rastin and Guénaël Cabanes
Teaching assistant for Master 1 students in the Industrial Engineering and Applied Mathematics track. Practical sessions introducing neural network implementation with Keras: MLP classifiers, CNNs, RNNs, LSTMs, and Transformers.

Programming and Data Structures
2024/2025
Course directed by Pierre-Étienne Moreau and Guillaume Bonfante
Teaching assistant for a Master-level course introducing programming in Python and fundamental data structures. Students worked with data types, memory models, namespaces, file handling, and graphical interfaces, while also exploring advanced structures (lists, sets, trees, dictionaries) and modern Python constructs such as comprehensions and lambda functions.

IUT Charlemagne

Development of Web Interfaces
2025/2026
Course directed by Philippe Dosch
Lecturer in charge of lectures and practical sessions. Introduction to web development using HTML and CSS to build static websites.