Dr. Federico Marcuzzi

Postdoc Researcher
Email:
[email protected]

About me:


My name is Federico Marcuzzi. I am joining INSAIT as a Postdoc Researcher in Natural Language Processing, advised by Prof. Iryna Gurevych. My research interests include Information Retrieval, Adversarial Machine Learning, Fairness, and Natural Language Processing.


During my doctoral studies at Università Ca’ Foscari Venezia, I was advised by Prof. Claudio Lucchese (https://www.unive.it/data/people/5590426/curriculum), and I conducted research on designing effective, efficient, and fair ranking algorithms and robust machine learning models to evasion attacks. My Ph.D. culminated in my thesis entitled Effective, Efficient, and Robust Learning Algorithms for Ranking and Classification (https://federicomarcuzzi.github.io/resources/thesis_phd.pdf).

Education:

  • Ph.D. in Computer Science at Università Ca’ Foscari Venezia.
  • Master’s degree in Computer Science at Università Ca’ Foscari Venezia (Graduated with cum laude).
  • Bachelor’s degree in Computer Science at Università Ca’ Foscari Venezia.

Relevant Experience:

  • Visiting Doctoral Student at Universiteit van Amsterdam under the supervision of Andrew Yates – 2023.
  • Teaching Assistant Senior at Università Ca’ Foscari Venezia – Introduction to Programming – 2020 and 2022.
  • Teaching Assistant Senior at Università Ca’ Foscari Venezia – Programming and Laboratory – 2022 to 2024.

Websites: