I’m currently a Research Scientist at Nous Research. I hold a PhD in Computer Science from GLADIA at Sapienza University of Rome — a top-ranked AI university in Europe. My doctoral work focused on building effective, efficient, and reliable Large Language Models. Previously, I was a Research Scientist Intern at Apple, working with the MLR team (see Experiences for the full list).

My current interests are improving language models’ robustness and reliability through uncertainty estimation and mechanistic interpretability (see pub1 and pub2). In the past, I’ve worked on diverse topics like syntax in transformers (see our publication KERMIT), efficient decoding techniques (we introduced Parallel Jacobi Decoding to double decoding speed - now adopted by lmsys), instruction-tuning in LLMs (we introduced instruction tuning, now adopted in every LLM training pipeline), instruction-tuning for the Italian language (see Camoscio). I’ve also worked on other tangential topics like preserving privacy in LLMs, audio LLMs, and multimodal neural databases (check out my publications).

If you’d like to connect or have an exciting project, feel free to reach out on X, LinkedIn, or through the contact form below!