Stefano Andreon Homepage

I am first astronomer of INAF-Osservatorio Astronomico di Brera.

My main interest is understanding how clusters of galaxies and galaxies in clusters evolve from an observational point of view and using Bayesian methods that I teach (so far at 13 universities spread in 7 countries). My top three most cited papers address the mass dependency and scatter of the stellar and gas fractions, the scaling between richness and mass, and the evolution of faint galaxies on the red-sequence. I discovered the galaxy cluster at the second highest redshift known, JKCS041 at z=1.803 (the most distant for over a decade). I was one of the first astronomers using artificial intelligence tools (neural networks, self organizing maps) for photometric redshift and object detection at the end of the 90's and, starting from 2005, bayesian methods for many astrophysical applications (luminosity and mass function, velocity dispersion, quenched fraction, galaxy and cluster scaling relations, x-ray and optical analysis of galaxy clusters, etc). I'm lead author of Bayesian Methods for the Physical Sciences book.

I'm the Vice-President of both the International Astrostatistics Association, and the Astroinformatics and Astrostatistics Commission of the International Astronomical Union, and director of the INAF (summer) Astrostatistics school. I'm presently deeply involved with the Euclid mission, with the VIDEO survey, and with its successor, VEILS. In 2016, I award the status of  IAA fellow.

In the recent past, I was at INAF-Osservatorio Astronomico di Capodimonte, and I taught information science at the Milan University. I was a member of the XMM-LSS project, where I lead the (cluster) identification working group, and I was PI of the VST-OAC survey.
cover of Bayesian Methods For the Physical Sciences
My latest book

true color image of the most distant cluster known
The redshift-holder cluster of galaxies JKCS041 at z=1.803 I co-discovered