News

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 (CCN) 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 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (link).

July 18th, 2023 - Presented a poster about my research work at the Philosophy and Computer Science Summer School in Bayreuth, Germany.

July 17th, 2023 - Our paper "Explainable AI in Drug Discovery: Self-interpretable Graph Neural Network for molecular property prediction using Concept Whitening" has been accepted for publication in the Springer Machine Learning Journal

July 3rd, 2023 - Our paper “Memory Replay for Continual Learning with Spiking Neural Networks” has been accepted for presentation at the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023) and it will be published on IEEE Xplore.

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.