👩‍🏫 Teaching

Symbolic Knowledge Discovery 🇬🇧
2026/2027
Lecturer in charge of lectures and tutorials for Master 2 NLP students.

Ontologies 🇬🇧
2026/2027
Teaching assistant for Master 2 NLP students. Tutorial sessions on ontologies and knowledge representation.

Symbolic AI 🇬🇧
2026/2027
Teaching assistant for Master 1 Cognitive Science and NLP students. Tutorial sessions on symbolic approaches to artificial intelligence.

Data Storage and Retrieval 🇬🇧
2026/2027
Teaching assistant for Master 1 NLP students. Tutorial sessions on data storage and retrieval.

Data Analysis 🇬🇧
2026/2027
Teaching assistant for Master 1 NLP students. Tutorial sessions on data analysis.

Generative AI 🇬🇧
2026/2027
Teaching assistant for Master 1 NLP students. Tutorial sessions on generative AI.

AI Design (Conception d’IA)
2026/2027
Lecturer in charge of lectures and tutorials for Master 1 Cognitive Science students on the design of AI systems.

Web Programming
2026/2027
Teaching assistant for Bachelor 3 students. Tutorial sessions on web programming with TypeScript and React.

Symbolic and Numerical Approaches
2026/2027
Teaching assistant for Bachelor 2 students. Tutorial sessions on symbolic and numerical approaches.

Introduction to Databases
2026/2027
Teaching assistant for Bachelor 1 students. Tutorial sessions introducing databases.

Introduction to Web Technologies
2026/2027
Teaching assistant for Bachelor 1 students. Tutorial sessions introducing web technologies.

Introduction to Machine Learning
2023/2024, 2024/2025, 2025/2026
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.

Programming and Data Structures
2024/2025
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.

Data Analysis with R
2023/2024, 2024/2025
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 Deep Learning
2023/2024
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.

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