Marco Raveri is an Associate Professor of astrophysics in Genoa with 11 years of research experience bridging theoretical cosmology and data-driven inference. A phenomenologist by training, he develops and applies advanced statistical and machine-learning methods to sharpen models and extract robust constraints on Dark Energy, Dark Matter, cosmological neutrinos, and gravity from complex observational datasets. His career spans postdoctoral positions at the University of Chicago and UPenn and a PhD from SISSA, reflecting a strong track record in both theory and practical analysis pipelines. Colleagues value his ability to translate subtle theoretical questions into testable predictions for current and next-generation surveys, and he brings uncommon fluency at the intersection of statistics, computation, and cosmological modeling.
11 years of coding experience
8 years of employment as a software developer
Dottorato di ricerca, Astrophysics, Dottorato di ricerca, Astrophysics at SISSA
Contributions:19 pushes, 5 branches in 9 years 9 months
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