I am an AI Scientist at the Botnar Institute of Immune Engineering (BIIE) in Basel, where I develop and apply machine learning models to design antibodies and analyze immune sequencing data. My focus is primarily on the intersection of deep learning and biology. I am really passionate about applying generative AI to protein design, structural biology, and chemistry. I am also deeply interested in the interpretability of large neural networks, representation learning, and generative diffusion models.

Previously, I earned my PhD in Computational Biology from the École Polytechnique Fédérale de Lausanne (EPFL). My doctoral research explored how large language models trained on protein sequences capture and leverage coevolutionary information.

Originally from Italy, I hold a Master of Science in Physics from the University of Padova. My thesis there applied statistical physics methods to study the stability of large ecosystems, an early project that sparked my interest in using quantitative approaches to explore complex biological systems.