Specialisation in ML and Differential Privacy (DP):- Developed and implemented DP versions of statistical and ML algorithms- Set up a data-processing pipeline using both Python and SQL- Managed privacy protection across the system

Study of the start-up ecosystem in order to develop quantitative and easy-to-use analysis tools of these complex systems. In parallel, a suitable data visualization interface will be designed specifically for our solution.

- Engagement and mobilisation of youth around the application project.- Co-construction of the Olympics and Paralympics project of Paris 2024- Support and advice to the Application Committee on the impact and heritage of the Paris 2024 project on youth.

Study of cellular nucleus dynamics: - Use of advanced medical imaging devices (Full-field OCT) to visualize micrometric movements in cells - Determination of the best processing technics of the obtained images in Matlab, from a vast set of possibilities, including standard deviation, auto-correlation, Hilbert transform and singular value decomposition - Modelization of the dynamics of the cell’s organelles from this data

Study of Memory in network flows- Coding of tools to retrieve a graph from the itinerary of requests sent between two servers throughthe Internet- Implementation of new methods to make the influence of memory as explicit as possible- Identification of relevant metrics (entropy, PageRank, first-hitting-time) to quantify memory

Study of superfluidity in Bose-Einstein condensates- Design of a new magnetic trap for the atom gas- Modelization of a cooling system for the magnets in Mathematica to discuss its feasability- Implementation of an optical setup and a retroaction loop, to monitor and stabilize the laser’s intensity