About me

I am a Postdoc at Goethe University Frankfurt under the supervision of Prof. Gemma Roig, working on NeuroAI to study how learning and forgetting take place in both brains and AI models. I was previously a Ph.D. student in the National Doctoral Program in Artificial Intelligence at the Department of Computer, Control and Management Engineering "Antonio Ruberti" (DIAG), Sapienza University of Rome.

My primary research interests are in explainable artificial intelligence, continual learning, and computational neuroscience.

Education

2026 - Today

Postdoc in NeuroAI

Goethe University Frankfurt

2022 - 2026

Ph.D. in Artificial Intelligence

Sapienza University of Rome

Thesis defended cum laude

2020 - 2022

M.Sc. in Artificial Intelligence and Robotics

Sapienza University of Rome

110/110 cum laude

2017 - 2020

B.Sc. in Computer and Control Engineering

Sapienza University of Rome

110/110 cum laude

Scholarships and Awards

Marisa Bellisario's Award - Top-3 Italian female students who received their Master's degree in 2022 (side picture).
3-year Ph.D. scholarship, Sapienza University.
Excellence Award, Sapienza University.
Alfiere del Lavoro - Title awarded by the President of the Italian Republic and Fondazione Nazionale Cavalieri del Lavoro to the top Italian students graduating from high school.
Camilla Borghini Award - Best student graduating from Liceo Scientifico "G. Marconi".

News

April 30th, 2026 - The paper I worked on during my internship at MPI-SWS "Fine-grained Analysis of Brain-LLM Alignment through Input Attribution" got accepted at ICML 2026!
February 15th, 2026 - Started a Postdoc at Goethe University Frankfurt with Prof. Gemma Roig! I will be working on developmental NeuroAI, studying how visual representations emerge in the human brain throughout development and in AI models during training. The objective is to improve AI models efficiency and robustness while understanding more about the brain.
January 29th, 2026 - I successfully defended my PhD thesis on "Memory, explainability, and brain alignment: towards brain-inspired explainable continual learning", ending my PhD journey with honors!
January 10th, 2026 - Our book chapter "Explainable Artificial Intelligence in Drug Discovery" was published by Springer Nature Switzerland!
November 8th, 2025 - Our paper "CIP-Net: Continual Interpretable Prototype-based Network" was accepted at AAAI 2026!
October 22nd, 2025 - Our paper "XAI‐Guided Continual Learning: Rationale, Methods, and Future Directions" was published in Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery!
August 12th, 2025 - Presented a poster on "Intermediate Layers of LLMs Align Best With the Brain by Balancing Short-and Long-Range Information", a work I did during my internship at MPI-SWS, at the Conference on Cognitive Computational Neuroscience (CCN) 2025!
August 6th, 2025 - Did and oral and poster presentation of "ProtoCRL: Prototype-based Network for Continual Reinforcement Learning", the work I did during my internship at Sony AI, at the Reinforcement Learning Conference (RLC) 2025!
September 25th, 2024 - Started an internship at MPI for Software Systems with Prof. Mariya Toneva! I will be working on interpreting brain-LLM alignment.
February 27th, 2024 - Met incredible researchers at our workshop on explainable AI for deep RL (XAI4DRL) at AAAI, in Vancouver (link).
November 6th, 2023 - Started an internship at Sony AI! I will be working on explainable AI for deep reinforcement learning.
October 30th, 2023 - Our paper "Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening" was published on Machine Learning! (link)
September 18th, 2023 - Presented a poster about my latest publication, "Memory Replay For Continual Learning With Spiking Neural Networks", at IEEE MLSP (link).
July 18th, 2023 - Presented a poster about my research work at the Philosophy and Computer Science Summer School in Bayreuth, Germany.
July 3rd, 2023 - Our paper “Memory Replay for Continual Learning with Spiking Neural Networks” has been accepted for presentation at IEEE MLSP!
July 15th, 2023 - I had the honor of receiving the prestigious Marisa Bellisario's Award for my university career and my thesis work as one of the top-3 Italian female students who graduated in 2022.
March 10th, 2023 - Gave a talk on Explainable AI for Continual Learning as part of the course "Seminars in AI and Robotics" by Prof. Roberto Capobianco at Sapienza University.
October 6th, 2022 - Won a 3-year Ph.D. scholarship to conduct a research project on the use of explainable AI to address catastrophic forgetting in continual learning. I will be advised by Prof. Roberto Capobianco.
July 29th, 2022 - Presented a poster about my thesis work at the 3rd Molecules Medicinal Chemistry Symposium—Shaping Medicinal Chemistry for the New Decade.
October 25th, 2022 - Successfully defended my Master's thesis with title "Explainable AI in Drug Discovery: Self-interpretable Graph Neural Network for molecular property prediction using Concept Whitening" and concluded the Excellence Program.

Page updated

Report abuse