Simone Ferraro

I am a data-driven astrophysicist and cosmologist. My work is a mix of theory, data analysis and computation to enhance our understanding of the Universe using astrophysical observations. My main interest include the study of fundamental physics (Inflation, Dark Matter, Dark Energy, neutrinos and other light relics etc.), as well as of the epoch of reionization and galaxy formation and evolution. Much of my recent work has focused on developing new statistics and Machine Learning techniques to exploit the large amount of data from current and future cosmological surveys.

I am a Divisional Fellow (Lab equivalent to tenure-track Assistant Professor) at Lawrence Berkeley National Lab and a senior member of the Berkeley Center for Cosmological Physics (BCCP) at UC Berkeley. I am active member of both the Cosmology and the Machine Learning for Fundamental Physics groups.

I was a Miller Fellow at UC Berkeley and I got my PhD in Astrophysical Sciences at Princeton University (advised by David Spergel). I got a Master's in Physics from the University of Chicago (working with Wayne Hu), and previously I studied Physics and Math at the University of Cambridge.