On October 15, 2026, Prof. Jeffrey J. Gray from Johns Hopkins University was invited by Prof. Chen Song to deliver a CQB seminar titled "Artificial Intelligence Tools for Protein Engineering." In his talk, he presented his lab's recent advances in AI-based antibody engineering and protein-protein docking. His research focuses on computational protein structure prediction and design, with particular interests in protein-protein docking, antibody engineering, protein-carbohydrate interactions, and deep learning. He also explored how to extract a thermodynamic-like energy function from denoising diffusion models and envisioned a future in which AI methods are combined with physics to enable powerful and interpretable biomolecular engineering.