I teach a lecture to Master students of a private school aiming at training project managers, engineer in AI and data scientists.

Data Privacy is an Ethics lecture. It surveys the potential threats, the technical solutions and their limit to develop privacy preserving machine learning. The first part covers real use-case were data leakages which were not prevented and highlights the mathematical impossibility of successful anonymization, leading to challenges both from ethical, social and legal point of view. The second part covers the technical ML-specific risks and what are the current tools to mitigate those risks.

During my PhD, I have the opportunity to teach at University of Lille. I was lucky to get a Master course, with the freedom to design lectures and tutorials.

Part of a computer science Degree specialized in Machine Learning, I aim to give students a better intuition of high dimension, and of the trade-off between dimension reduction and preservation of data characteristics. The goal is also to strengthen their mathematical background and their ability to code in Python. The lecture covers the curse of dimensionality, PCA, SVD, kernel-PCA, manifold-learning, LLE, t-SNE, spectral clustering…

I continue this year to get involved in the Rendez-vous des jeunes mathématiciennes et informaticiennes. We now include more computer-science-oriented tutorials, and ot only mathematic ones. I was looking for a topic easy to understand and to explain to parents and relatives. Maze generation was looking fun and reasonable for 3-hour work.
We generate mazes with two different algorithms. For small mazes, the construction can be seen step by step with animation. We finish with mazes following the form of a picture.
You can find the notebook that we use during the tutorial (in French).
Once again, I was surprised by the quality of the questions and solutions found by the girls. Let’s share also share a fun fact. I got one expected question that I wasn’t prepared to. How can we draw the figure in pink? Well, usually, I’d prefer to use other colors, but we can look at the possibilities. Is purple enough? (You can see the result)