Ludvig Doeser

About me

My name is Ludvig Doeser, and I conduct research in cosmology, with a particular focus on the large-scale structures of the Universe and how they have formed. 

In my research, I combine physics with modern data science methods, such as Bayesian inference and machine learning, to understand how the Universe has evolved from its initial state through billions of years of gravitational collapse. More specifically, I aim to reconstruct the density fluctuations in the early Universe by analyzing the distribution of galaxies today. 

From these reconstructed initial conditions, we can create a digital twin of our Universe and its dynamic evolution, allowing us to test our theoretical models against observational data.