My research lies in the framework of galaxy evolution. It is well-known that galaxies show a dichotomy in both morphology and colors. They are separated between the group of blue star-forming galaxies and the group of red and "dead" ones. One of the main question of galaxy evolution is to understand how galaxies evolve from the star-forming group to the passive one.

To tackle this problem I study the star formation history of galaxies by modeling their spectral energy distribution (SED). I especially focuss on the recent star formation history of galaxies using the versatility of the SED fitting code CIGALE. With the large amount of galaxies observed as well as the large wavelength coverage of these observations, we reached a point where we need robust statistical tools to understand the results of our fitting. I'm part of a collaborative effort between astrophysicists and statisticians to apply deep learning to SED fitting.