PhD Student

Research Interests

The nature of dark matter is still one of the most pressing open question of contemporary cosmology and physics. While making up to 80% of the matter in the Universe, it has only been indirectly observed by its properties (collisionless and cold). On small scales, the properties of dark matter can be constrained by observations of the high-redshift Universe, and in particular of the Lyman-alpha forest as well as the abundance of the first galaxies. Studying this connection using a novel simulation technique is the main focus of my thesis.

I am currently developing a finite volume hydrodynamics solver and we are combining it with an existing simulation software that uses novel phase-space tessellation techniques to model the dynamics of dark matter. This will enable us to study more accurately the combined evolution of baryons and dark matter in the high-redshift Universe than previously possible. Using these newly developed tools, in the final part of the thesis, we will investigate the accuracy of current constraints on the properties of the dark matter particles from Lyman-alpha forest observations and other small scale baryonic probes.

Education

• Master’s degree in Astronomy, Astrophysics and Space Engineering, Université Paris-Diderot, 2017
• Master’s degree in Analysis, Modeling and Simulation, Université Paris-Saclay, 2016
• Bachelor’s degree in Physics and Simulation, Université de Cergy-Pontoise, 2014