TDA

The TDA project is located halfway between research in applied mathematics and information theory. The objective of this project is to develop TDA methods while connecting them to other fields such as data science, quantum physics (e.g. topological matter, exotic phases, experiments like ARPES, etc.), computational chemistry, biology, and medical imaging. Firstly, we would like to implement efficient TDA methods such as persistence homology and mapper in order to analyze data from the French electricity network. Thereafter, we would like to extend this project to other use cases, along with the development of new techniques.