Research interests
Research interests
Embedded Files
Explainable artificial intelligence
Continual learning
Representation learning
Computational neuroscience
Drug discovery
Research groups
Research groups
Professional experience
Professional experience
Research Intern (Sep 2024 - Mar 2025)
Max Planck Institute for Software Systems
Developed an end-to-end gradient-based attribution framework to study alignment between large language models (LLMs) and human brain activity..
Conducted large-scale analyses across transformer, state-space, and hybrid architectures to investigate the relationship between brain alignment and next word-prediction, showing distinct feature reliance for the two prediction tasks.
Co-authored Fine-Grained Analysis of Brain–LLM Alignment through Input Attribution (under review, ICLR 2026).
AI Research Assistant (Nov 2023 - May 2024)
Sony AI
Ideated and implemented ProtoCRL, a prototype-based continual reinforcement learning architecture that automatically identifies event states, improving efficiency of experience replay and mitigating catastrophic forgetting across sequential tasks.
Co-authored ProtoCRL: Prototype-based Network for Continual Reinforcement Learning (Reinforcement Learning Journal, 2025), and did oral and poster presentations at the Reinforcement Learning Conference (2025).
Other research activities
Other research activities
Poster presentations
Poster presentations
XAI-based continual learning, Philosophy and Computer Science Summer School, University of Bayreuth, Germany, 2023
Explainable AI in Drug Discovery: Self-interpretable Graph Neural Network for Molecular Property Prediction using Concept Whitening, 3rd Molecules Medicinal Chemistry Symposium: Shaping Medicinal Chemistry for the New Decade, Sapienza University, Rome, Italy (2022)
Talks
Talks
XAI-based continual learning, Seminars in Artificial Intelligence and Robotics 2023/2024, Sapienza University, Rome, Italy
Explainable artificial intelligence, Machine Learning Course 2023/2024, Sapienza University, Rome, Italy
Object detection, Machine Learning Course 2023/2024, Sapienza University, Rome, Italy
XAI-based continual learning, Seminars in Artificial Intelligence and Robotics 2022/2023, Sapienza University, Rome, Italy
Organized events
Organized events
Explainable artificial intelligence for deep reinforcement learning (XAI4DRL) workshop @ AAAI2024 (link)
Teaching experience
Teaching experience
TA, Reinforcement Learning Course 2025/2026, Sapienza University, Rome, Italy
TA, Machine Learning Course 2023/2024, Sapienza University, Rome, Italy
TA, Reinforcement Learning Course 2023/2024, Sapienza University, Rome, Italy
TA, Seminars in Artificial Intelligence and Robotics 2022/2023, Sapienza University, Rome, Italy
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