cv

General Information

Full Name Alessandro Flaborea
Date of Birth 25th September 1995
Languages English, Italian native

Experience

  • Dec. 2023-Mar 2024
    PhD visiting researcher
    University of Amsterdam, NL
    • Supervisor Prof. Pascal Mettes
  • 2019-2022
    Teaching Assistant
    Sapienza University of Rome, Rome, IT
    • Teaching Assistant of the courses “Algorithmic Methods of Data Mining”, “Fundamentals of Data Science” and “Advanced Machine Learning” of the MSc in Data Science.
  • 2020
    Teaching Assistant
    Sapienza University of Rome, Rome, IT
    • Teaching Assistant of the Google Training Camp for the MSc in Data Science.
  • Nov. 2019-Jan. 2020
    Software Developer Internship
    Italian Ministry of Economic Development, Rome, IT
    • Development of the project winner of the Datathon 2019. Main tools used during the experience were Python, MySQL, QGis
  • 2017
    Erasmus+ BSc student
    Chalmers University of Technology, Gothenbourg, Sweden
  • Oct. 2017-Jan 2018
    Software Developer Internship
    Municipality of Lignano Sabbiadoro, Udine, IT
    • Thesis research internship. Main tools used during the experience were Python, Django

Education

  • 2021-2024
    PhD
    Sapienza University of Rome, Italy
    • Ph.D in Computer Science, supervisor Prof. Fabio Galasso
    • Thesis on "Anomaly Detection Across Multiple Domains; the role of Generative Models, Self-Supervised Learning and Hyperbolic Neural Networks".
  • 2018-2020
    MSc
    Sapienza University of Rome, Italy
    • Ms.C in Data Science.
  • 2014-2018
    BSc
    UniversitĂ  degli Studi di Udine, Italy
    • Bs.C in Computer Science.

Honors and Awards

  • 2023
    • The work “Best Practices for 2-Body Pose Forecasting” was awarded as best paper of the Precognition workshop at CVPR 2023
  • 2021
    • Winner of the PhD Scholarship (Funded by Regione Lazio and Datawizard s.r.l.)
  • 2019-2022
    • Winner of the scholarships as Teaching Assistant of the courses “Algorithmic Methods of Data Mining”, “Fundamentals of Data Science” and “Advanced Machine Learning” of the MSc in Data Science.
  • 2020
    • Winner of the scholarship as Teaching Assistant of the Google Training Camp for the MSc in Data Science
  • 2019
    • Awarded with a grant of 10.000€ for the project winner of the competition "Datathon", organized by the Italian Ministry of Economic Development.
  • 2019
    • Awarded as the best team using SAS software and platform at the "Stats Under the Stars" Hackathon, organized by Bocconi University, Milan, Italy.

Invited talks

  • 2024
    • Seminar "Anticipare le tendenze e alenarsi alla reattivitĂ ", COFIDI Veneto, Moena (TN), Italy
  • 2023
    • Data Science Hub of Ferrari S.p.A., "Generative AI Models & Computer Vision Use Cases", Maranello (MO), Italy
  • 2023
    • Spotlight paper presentation at the Visual Anomaly and Novelty Detection workshop, CVPR 2023 of the work "Are we certain it's anomalous?". Vancouver, Canada