(2020-2024) Université de Lille

• Refresher in Mathematics, M2 Data Science. In this short course I cover some basic tools from linear algebra and discuss some of their applications in data science. Here are the lecture notes.
• Résolution numérique de problèmes nonlinéaires, M1 Scientific Computing. This is a numerical analysis course, covering numerical methods for ODEs (and in particular Runge Kutta methods) and an introduction to numerical optimization. Here are the lecture notes (in french).

(2019-2020) Université Paris-Sud

• Cours/TP, Modélisation et simulations numériques, L2 Mathématiques.
• Cours/TP, Python pour le calcul scientifique, L2 Informatiques.

(2018-2019) Université Paris Dauphine

• TD, Differential Calculus and Optimization, L3 Mathématiques.

(2016-2017) Imperial College London

• Tutor for a group first year undergraduates in the Joint Maths and Computing (JMC) program, following their progress on their Maths modules including: Applied Methods, Linear Algebra, Algebra and Analysis, Foundations of Analysis, and Mathematical Methods.

(2015-2016) Imperial College London

• TD, Multivariable Calculus, undergraduate level.
• TD, Mechanics, undergraduate level.
• TP, Mathematical Computation: Matlab, undergraduate level.
• TD, Numerical Solution of PDEs, graduate level.

(2014-2015) Imperial College London

• TP, LaTeX, undergraduate level.

(2012-2013) Delft University of Technology

• TD, Computational Modelling.