Buchao Zhan
AI for Science · Protein Intelligence · Computational Biology. I study protein foundation models, sequence–structure modeling, generative protein design, and computational methods for scientific discovery.
Research
Protein Foundation Models
Learning transferable representations across protein sequence, structure, function, and evolutionary context.
Generative Protein Design
Structure-conditioned sequence design, evaluation, robustness, and uncertainty in computational protein engineering.
AI for Scientific Discovery
Connecting foundation models, structured scientific knowledge, biological data, and computational tools.
Open Scientific Software
Reproducible tools, benchmarks, and workflows for computational research and protein-model evaluation.
Publications
My work spans knowledge graphs, biomedical reasoning, computational biology, and emerging protein-centric AI. See the complete and continuously updated record on the Publications page.
Research Notes
I use Research Notes for methods, experiments, evaluation design, and technical reasoning, and Reading for structured notes on external papers.
About
I am a PhD student at Xiamen University. My current research interests are increasingly centered on protein foundation models, generative protein design, and AI for Science.