📌 I am currently seeking internship opportunities in AI/ML research!
Research
👨🎓 I am a PhD student in Data Science at La Sapienza, University of Rome.
🌱 Working with Simone Scardapane on developing efficient and interpretable machine learning models.
🏴 Visiting researcher at Edinburgh NLP with Pasquale Minervini.
🔬 My research background spans both computer vision and natural language processing, focusing on making AI systems more efficient and interpretable. My current research interests include Efficient training and inference for Language and Vision Models [1,2], AI interpretability [3, 4], Adaptive computation methods [2, 5]
Blog
📝 I maintain a small blog where I share code tutorials and insights on various deep learning topics, feel free to take a look!
Beyond Research
- 📈 Training as a certified life & business Coach International Coaching Federation
- 🇪🇸 Former Erasmus student at Universidad Politecnica de Valencia, Spain
- 🏛️ I like languages (even dead ones!). I teach Ancient Greek and Latin to high school and college students.
Latest Publications
This is a summary of my latest publications, feel free to take a look at my CV for a more detailed list!
- Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference (AAAI 2025)
- A Simple and Effective \(L_2\) Norm-Based Strategy for KV Cache Compression (EMNLP 2024)
- Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering (MINT @ Neurips 2024)
- Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection (2025)
- Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning (2024)
- Are We Done With MMLU? (2024)