Matteo Nori
Government, Health and Not for Profit
Biography
Matteo Nori is an astrophysicist with extensive expertise in data science and analysis, specialized in the physical and statistical modelling of complex systems. He holds a double MSc degree from Sorbonne University (France) and Politecnico di Torino (Italy), earned in July 2015, and completed his PhD in Astrophysics at Alma Mater Studiorum University of Bologna (Italy) in March 2019.
From 2019 to 2023, Matteo Nori served as a researcher at Bologna University and as a Postdoctoral Associate at New York University Abu Dhabi (UAE). During these years, he pursued in his investigation of the physical models of Dark Matter and Dark Energy and their implications for galaxy formation and evolution through numerical means.
Matteo Nori is collaborating with the SEE Lab since February 2024. Thanks to his scientific and technical skills, he is involved both in the research efforts, in particular revolving around numerical simulations and projections of present and future satellite populations, as well as in the design, development and automatization of the data analysis of the SEEData dataset.
Teaching domains
Big & Small Data
Data Analysis Process
Descriptive Analytics
Time Series Analysis
Predictive Analytics
Latest publications
No Catch-22 for fuzzy dark matter: testing substructure counts and core sizes via high-resolution cosmological simulations
Monthly Notices of the Royal Astronomical Society, 2024, vol.532, no. 4, pp.4050-4059
Fuzzy Aquarius: evolution of a Milky-way like system in the Fuzzy Dark Matter scenario
Monthly Notices of the Royal Astronomical Society, 2023, vol.522, no. 1, pp.1451-1463
NIHAO – XXVIII. Collateral effects of AGN on dark matter concentration and stellar kinematics
Monthly Notices of the Royal Astronomical Society, 2022, vol.514, no. 4, pp.5307-5319
Sparse Identification of Variable Star Dynamics
The Astrophysical Journal Supplement, 2022, vol.930, no. 2, pp.161
Dynamic zoom simulations: A fast, adaptive algorithm for simulating light-cones
Monthly Notices of the Royal Astronomical Society, 2020, vol.499, no. 2, pp.2685-2700
Scaling relations of fuzzy dark matter haloes – I. Individual systems in their cosmological environment
Monthly Notices of the Royal Astronomical Society, 2020, vol.501, no. 1, pp.1539-1556