Ciao! I'm Nicolo'

Dr. Nicolo' Brandizzi

Building bridges between data, language, and society.

My research moves between AI, data governance, and social systems. I’m interested in how structure and meaning evolve when humans and machines learn together. This site is a record of the work, collaborations, and side investigations that follow from that curiosity.

Things that light me up lately

  • Shaping evaluation methods that capture reasoning and reliability in multilingual models.
  • Connecting AI governance frameworks with the technical realities of training and deployment.
  • Coordinating European efforts toward open, large-scale AI infrastructure.
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Dr. Nicolo' Brandizzi
What I've been up to lately

These are the stories, prototypes, and collaborations currently keeping me curious. Dip in to see how the research journey unfolds in real time.

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Trajectory

Recent roles & collaborations

A curated look at labs, institutes, and collaborations that shaped how I work.

03/2024 - Ongoing

Research Scientist

Research Scientist at Fraunhofer IAIS, in the NetMedia Department.

  • Engineered HPC-scale data pipelines for large language models, processing 703 TB of multilingual text across 24 languages in OpenGPT-X and EuroLingua.
  • Developed methods for dataset quality assurance, filtering, and reproducibility.
  • Coordinated AI governance and GDPR-compliant practices in TrustLLM and OpenFLaaS.
  • Fraunhofer lead in DKZ.2R (Data Reproducibility), organizing hackathons and reproducibility benchmarks.
  • Built agentic prototypes for federated and collaborative data workflows.
  • Project lead for Fraunhofer in the JUPITER AI Factory (€25M EuroHPC) and Archer evaluation campaigns.
2021 - 2024

Researcher

02/2023 - 03/2024

  • Research collaborator on the AFORS project Trust Your Agent.
  • Developed frameworks combining hierarchical RL and communication models to improve human–AI trust and cooperation.
  • Outcomes of the project are available here.

02/2021 - 09/2021

  • Collaborated on the MBDA Project (AI for Assisted Mission Planning).
  • Authored a technical report on multi-agent model-based reinforcement learning, demonstrating expertise in cooperative RL for mission planning.
10/2022 - 04/2023

Research Scientist

Research Scientist at Basis Health.

  • Conducted research on wearable health data analysis to enable personalized health improvement.
  • Reviewed academic literature and developed innovative methods in collaboration with interdisciplinary teams.
02/2020 - 09/2021

Teaching Assistant

  • 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.
Trajectory

Learning journey

Academic foundations spanning reinforcement learning, multi-agent systems, and socio-technical design principles.

2020 - 2024

Doctor of Philosophy

Ph.D. in Computer Science

  • I succesfully defended my Ph.D. on the 6th of May 2024 (read more here)
  • I was part of the RoCoCo Lab at DIAG. I researched the role of communication in Reinforcement Learning under the supervision of Prof. Luca Iocchi.
  • I was 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.
2014 - 2017

Bachelor's Degree

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.