Yang Zhang

Yang Zhang is a researcher at the Yale School of Medicine, Department of Biomedical Informatics. His work focuses on integrating machine learning, especially diffusion models and causal language models, with biomedical applications such as drug discovery, protein-ligand docking, and molecular modeling. He has contributed to advancements in generative AI for biochemical systems and developed frameworks like Torchdrug for computational drug discovery.

Research Interests:

• Diffusion models for molecular systems
• Protein structure prediction and analysis
• AI-driven drug discovery pipelines
• Causal inference in biomedical modeling

His recent articles emphasize flow matching techniques, non-Markovian systems, and equivariant networks for biological applications. Notable contributions include the Peer benchmark for protein sequence understanding and the E3bind docking framework.

Labs/Teams: Likely affiliated with computational biology or AI labs at Yale, though specific team names are not provided in the text.