I am a PostDoctoral Researcher at the Waterloo Center for Astrophysics. I am a cosmologist and my research lies in the context of the large-scale-structure of the Universe. Currently my focus is on methods to accelerate the analysis of cosmological datasets, employing surrogates and gradient-based methods (and most of this work is performed using the Julia programming language).
I recently joined the DESI collaboration and I have been involved for a few years in the Euclid mission of the European Space Agency. Euclid will map the galaxy distribution in about a third of the sky. I am mainly involved in the activity of the Galaxy Clustering Science Working Group (GC-SGW). Within Euclid, my main activities regard:
Cosmic Voids. Voids are the biggest large-scale structures of the Universe and can be used as a complementary source of information, increasing the scientific outcome of the Euclid mission. In particular, the main topic of my PhD thesis has been the study of the Void-Lensing cross-correlation. A Euclid collaboration paper, led by myself and Dr. Carmelita Carbone, has been recently published on Astronomy&Astrophysics
I am involved, as a core-team member, in the development of the official likelihood code of the Euclid consortium, CLOE. This code will be used to deliver the official cosmological analysis of the Euclid collaboration.
I am leading a Euclid Key Project which aims at developing techniques to accelerate the inference of cosmological data, using both Deep Learning and Computer Science techniques. By the way, this project in entirely coded in Julia.