Postgraduate Students | Collaborators
Postgraduate Students
Jianxu Cai
PhD student (2022 intake)
Research projects:
- Large language models of biological sequences
- Peptide toxicity prediction
Xinpo Lou
PhD student (2023 intake)
Research projects:
- Graph modeling of molecules
- Protein-ligand binding prediction
- Deep docking
Xiangyu Ma
PhD student (2024 intake)
Research projects:
- Deep learning
- Prediction of gene expression profiles
Dongqi Liu
PhD student (2024 intake)
Research projects:
- Drug repurposing based on heterogeneous network
- Biological knowledge graph construction
Miaoting Hu
PhD student (2024 intake)
Research projects:
- Medical image diagnosis
- Image classification
Tiantao Liu
PhD student (2024 intake)
Research projects:
- Graph modeling of proteins
- Enzyme-reaction interaction prediction
Junwen Deng
PhD student (2024 intake)
Research projects:
- Bioinformatics & Omics
- Target identification
- Anticancer drug development & Evaluation
Xinke Zhan
PhD student (2024 intake)
Research projects:
- Protein-peptide interaction prediction
- Peptide design
Xianwei Mo
PhD student (2024 intake)
Research projects:
- Target-based antibacterial drug design using structure- and ligand-based approaches
- Molecular dynamics (MD) simulations to study protein structure-function relationships
- Machine learning-driven modeling of toxin recognition and interactions
Xiaodan Wang
PhD student (2025 intake)
Research projects:
- Large language models of biological sequences
- Peptide solubility prediction
Mingfeng Li
PhD student (2025 intake)
Research projects:
- Bioinformatics & Multi-omics data integration
- Discovery of novel drug targets
Dutao Zhang
PhD student (2025 intake)
Research projects:
- Natural language processing
- Bioinformatics analysis
- Explainable AI
- Code style generation
Yonglin Ma
PhD student (2025 intake)
Research projects:
- Multimodal AI model
- Knowledge graph link prediction model
External Collaborators
Dr. Jielu Yan
Postdoctoral fellow, University of Saint Joseph
Research project:
Generative modeling methods for molecular design
Computational Biology and Bioinformatics 