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General Information

Full Name Marco Minici
Languages English, Italian

Education

  • 2024
    PhD in Artificial Intelligence
    University of Pisa, Pisa, Italy
  • 2019
    M.Sc. in Data Science
    Sapienza University, Rome, Italy

Experience

  • 2022
    Applied Scientist Intern
    Amazon Music
    • Internship Project about Catastrophic Forgetting in Ranking models.
  • 2022
    Visiting PhD Student
    Eurecat, Barcelona, Spain
    • setup collaboration with Francesco Fabbri to design a framework for studying the effects of Algorithmic Radicalization caused by Recommender Systems. Currently under review.
  • 2021-2024
    PhD Student
    University of Pisa, Pisa, Italy and ICAR-CNR, Rende, Italy
    • Echo-Chamber detection using information cascades of social-media users (CIKM'22)
    • Analyzing the effect of people-recommender algorithms on echo chambers and polarization (ICWSM’22)
    • Analyzing the entanglement between popularity bias and sampling in Recommender Systems (Disc. Paper)
  • 2020-2021
    Research Fellow
    ICAR-CNR, Rende, Italy
    • Worked on an academic-industrial joint project. Tagging System using a multi-modal neural architecture.
    • Research paper on Imbalanced Classification, Deep Metric Learning and Explanation (ISMIS’22).

Service

  • Review Committee of SAC2023 - MLA track (A- GGS rating)
  • Web and Social Media Chair of ISMIS2022
  • Reviewer for TKDD, KAIS journals

Academic Interests

  • Algorithmic Bias
    • Opinion Polarization, Echo Chambers, Algorithmic Radicalization
    • Popularity Bias in Recommender Systems

Other Interests

  • Hobbies: Music, Tennis, Padel