Lorenzo Porcaro
Scholar

Lorenzo Porcaro

Google Scholar ID: lCG_j5QAAAAJ
Marie Sklodowska-Curie Postdoctoral Research Fellow, Sapienza University of Rome
Recommender SystemsMusic Information RetrievalAlgorithmic Auditing
Citations & Impact
All-time
Citations
473
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
42
list available
Resume (English only)
Research Experience
  • Marie Skłodowska-Curie Postdoctoral Fellow at Sapienza University of Rome (2022 - present), leading the project 'Algorithmic Auditing for Music Discoverability' (AA4MD)
  • Presenting AA4MD project at the lecture series 'Here to Stay…: AI in Art, Research, and Teaching' (October 2025)
  • Giving a seminar at the Music Technology Group (Barcelona, ES) in the frame of the UPF-BMAT Chair on Artificial Intelligence and Music (November 2025)
  • Participating at the Mozilla Festival 2025 with a talk 'Reclaiming Music Discovery from Recommender Systems' (November 2025)
  • Participating in the 3rd Workshop on Human-Centric Music Information Research (HCMIR25) and the 3rd Music Recommender Systems Workshop (MuRS25) (September 2025)
  • Attending the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025) (June 2025)
  • Attending the Fourth European Workshop on Algorithmic Fairness (EWAF25) (June 2025)
  • Contributing to the tutorial 'Data Access for Recommender Systems Research: leveraging the EU’s Digital Services Act' at ACM RecSys 2025 (May 2025)
  • Co-organizing the 3rd Music Recommender Systems Workshop (MuRS) at ACM RecSys 2025 (April 2025)
  • Joining the RSTLess research group led by Prof. Fabrizio Silvestri (February 2025)
Background
  • Research scientist specialized in Recommender Systems. Interested in understanding how Artificial Intelligence and Information Technology are affecting people's life.
Miscellany
  • Personal interests and hobbies not mentioned in the provided HTML content