Simone Ferraro

I am a data-driven cosmologist.  My work is a mix of theory, data analysis, and computation to enhance our understanding of the Universe using astrophysical observations.  My main interests include the study of Fundamental Physics (Inflation, Dark Matter, Dark Energy, neutrinos, and other light relics), as well as 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 Senior Scientist at Lawrence Berkeley National Lab and a senior member of the Berkeley Center for Cosmological Physics (BCCP) at UC Berkeley.  I am actively involved in both the Cosmology and Machine Learning for Fundamental Physics groups, and serve as one of the Principal Investigators of the Simons Collaboration on Learning the Universe.

Previously, I was a Miller Fellow at UC Berkeley. I earned my Ph.D. in Astrophysical Sciences from Princeton University, where I was advised by David Spergel. I also hold a Master’s degree in Physics from the University of Chicago, where I worked with Wayne Hu, and a degree in Physics and Mathematics from the University of Cambridge.