📌 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.
🏴 Currently a 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 explainability and mechanistic interpretability [3]
- Adaptive computation methods [2, 4]
📝 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
- 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)
- Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning (2024)
- Are We Done With MMLU? (2024)
- Adaptive Computation Modules: Granular Conditional Computation For Efficient Vision Transformer Inference (2023)
- Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques, (2024)