Email
bsarsioli@ciencias.ulisboa.pt

Biographic Notes
Bruno Arsioli is a Marie Curie Research Fellow at the Institute of Astrophysics and Space Science (IA) at the University of Lisbon. He holds a Ph.D. in Relativistic Astrophysics from the Erasmus Mundus IRAP Ph.D. program, with over a decade of experience in multifrequency and multimessenger astrophysics. His expertise includes the development of Machine Learning models, parallel data processing in HPC clusters, and Python tools for astrophysical data analysis, focusing on the classification, feature extraction, and discovery of celestial sources from multi-mission archival data.

Bruno's research leverages advanced machine learning techniques, multifrequency data cross-matching, and data analysis across the electromagnetic spectrum, from radio to gamma-rays. He has significant contributions to multifrequency catalogs, which are reference in very high energy astrophysics (e.g. the 1WHSP, the 3HSP, and the 2BIGB gamma-ray blazar catalogs).
His current projects at IA explore the use of machine learning (ML) to detect and study high-redshift quasars and blazars, to create ML photo-z models, as well as the investigation of very high energy sources at the cosmic gamma-ray horizon. He is also examining the GeV emission from the solar disk, extending his expertise in solar astrophysics.

Publications
Personal Publications List

Lastest publications at IA (or with IA Researchers)B. Arsioli, E. Orlando, 2024,
Yet Another Sunshine Mystery: Unexpected Asymmetry in GeV Emission from the Solar Disk,
The Astrophysical Journal, 962, 16
>> Abstract