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Nicolo' Brandizzi

Computer Science Engineer

PhD Candidate researching

Reinforcement Learning and Language (NLP)

at DIAG, Sapienza University of Rome, IT.

Nicolo' Brandizzi

Recent Activity

EDUCATION

Doctor of Philosophy

Doctor of Philosophy 2020 - Ongoing

Ph.D. in Computer Science

  • I am part of the RoCoCo Lab at DIAG. I research the role of communication in Reinforcement Learning under the supervision of Prof. Luca Iocchi.
  • I am currently enrolled in the University of Bayreuth as a Visiting Researcher for 6 months (04/2023 - 10/2023) under the supervision of Prof. Daniel Buschek.
  • Completed a 5 months (03/2022 - 08/2022) scientific visiting period at Amsterdam university under the supervision of Prof. Raquel Fernández in the ILLC.

Master's Degree

Master's Degree 2017 - 2020

M.Sc. of Engineering in Artificial Intelligence and Robotics

Bachelor's Degree

Bachelor's Degree 2014 - 2017

B.S. of Computer and System Engineering with a track in Autonomous Systems

  • Graduated with 101/110 (GPA : 2.97) with my thesis titled “Comparison Between Segmentation Methods” under the supervision of Prof. Fiora Pirri.
  • Completed a 7 months (05/2017 - 01/2018) internship under the supervision of Luigi Freda on the TRADR European Project in the ALCOR Lab.

WORKING EXPERIENCES

RESEARCH SCIENTIST

RESEARCH SCIENTIST 10/2022 - 04/2023

Research Scientist at Basis Health

  • I worked in the analysis of wearable data for the purpose of improving personal health.
  • I was responsible for reading and analyzing relevant research papers, and collaborated with team members to develop new approaches and techniques.

TEACHING ASSISTANT

TEACHING ASSISTANT 02/2020 - 09/2021
  • Course “Techniche di Programmazione” from 02/2020 to 09/2020.
  • Course “Techniche di Programmazione” from 02/2021 to 09/2021.
  • Course “Seminars in Artificial Intelligence” from 02/2021 to 09/2021.

PROFESSIONAL SERVICE

PROFESSIONAL SERVICE 07/2021 - 09/2021
  • I was hired by Sapienza as part of the MBDA project - Artificial Intelligence Techniques for Assisted Mission Planning (Tecniche di Intelligenza Artificiale per una Pianificazione Assistita della Missione).
  • I authored a technical report on ”Multi-agent Model Based Reinforcement Learning” showcasing my expertise in this field and demonstrating my ability to effectively communicate technical concepts and results.