I build structure-aware language models for understanding and designing antibody–antigen interactions. My research integrates protein sequences with 3D structural context to predict binding, capture mutation effects, and guide antibody optimization — working under the supervision of Prof. Stefano Lonardi.
Broadly, I am interested in protein language modeling, structure-based learning, graph neural networks, and generative models for molecular and antibody design. My long-term goal is to build AI systems that bridge machine intelligence with biological insight for real-world biomedical and therapeutic applications.
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