About me

My name is Xiangyu (pronounce as Shawnyu 😃), a second-year Ph.D. student in Computational Biology and Bioinformatics at Duke University, supervised by Prof. Ricardo Henao. My current research mainly focuses at the intersection of biomedicine and AI, including but not limited to:

• Multi-modal Learning.
• Foundation models in scRNA-seq/spatial transcriptomics.
• AI in medicine/Healthcare.
• Digital pathology.

Recent Papers

1. Cross-modal imputation and uncertainty estimation for spatial transcriptomics. [link]
   Xiangyu Guo, Ricardo Henao. AISTATS 2025.
   
2. SpaSEG: unsupervised deep learning for multi-task analysis of spatially resolved transcriptomics [link] Yong Bai, Xiangyu Guo, Keyin Liu, et. al. Genome Biology, 2025.07
   
3. STGIC: a graph and image convolution-based method for spatial transcriptomic clustering [PDF] Chen Zhang, Junhui Gao, Lingxin Kong, Guangshuo cao, Xiangyu Guo, Wei Liu
   Plos Computational Biology, 2024.02
4. Recent advances in blood-based and artificial intelligence-enhanced approaches for gastrointestinal cancer diagnosis [PDF] Li-Shi Li, Xiang-Yu Guo, Kun Sun
   World Journal of Gastroenterology, 2021.09
   

Industrial Experience

• Algorithm Engineer at BGI Research, Shenzhen
• Data Scienctist in PingAn Insurance Group