Anchal Saxena

I am a postdoctoral researcher at the Max Planck Institute for Radio Astronomy in the radio cosmology group of Jonathan Pritchard, working on the application of machine learning and intensity mapping to study the Cosmic Dawn (CD) and the Epoch of Reionization (EoR). My research integrates cosmology, data science, and machine learning to pioneer innovative approaches that expand the current boundaries of observational and theoretical models. My long-term vision is to leverage cutting-edge AI techniques to address open questions in cosmology, particularly those related to CD-EoR.

I received my PhD from the University of Groningen under the supervision of Daan Meerburg, Léon Koopmans, and Diederik Roest, as a core member of the REACH collaboration, a sky-averaged 21-cm signal experiment. During my PhD, I developed data-analysis pipelines for REACH that combine modern pattern-recognition techniques with simulation-based inference, jointly modeling beam-weighted foregrounds, cosmological signal, and instrumental systematics. I have also applied these tools to the upcoming SKA1-Low, achieving an order-of-magnitude improvement in inference efficiency compared to classical methods.

An up-to-date record of my publications is available on INSPIRE and ADS.