HESpotEx: a dual-stream deep learning framework for spot-level gene expression prediction from histological images
Nature Computational Science, 2026JCR Q1IF 20.3 (2025)
About
I am a PhD candidate at Peking University. I have been fortunate to be supervised by Prof. Yang Li, Prof. Xiangyu Zhao, Prof. Hongkui Deng, Prof. Yuan Zhou, and Prof. Qinghua Cui.
My research focuses on AI for biology and medicine, with an emphasis on stem cell and cell biology, disease diagnosis, and immunotherapy. My current research employs single-cell multi-omics to advance clinical diagnosis. My long-term goal is to develop virtual cell models that simulate cellular responses and guide therapeutic discovery.
Research interests
Disease diagnosis
Reading disease-associated cell states through single-cell multi-omics.
Virtual cells
Modeling cell states and perturbation responses to guide biological discovery.
Immunotherapy
Connecting stem cell biology and immune cell engineering to therapeutic discovery.
Selected publications
AI for Biology & Medicine
scMOBA: A conversational single-cell Multi-Omics Brain Agent across species
bioRxiv (preprint), 2025
Cancer Immunotherapy
Leveraging CD16 fusion receptors to remodel the immune response for enhancing anti-tumor immunotherapy in iPSC-derived NK cells
Journal of Hematology & Oncology, 2023JCR Q1IF 47.8 (2025)
Stem Cell Biology
Selected Honors & Awards
- Outstanding Graduate of Beijing Higher Education Institutions PKU news
- Wu Keli Outstanding Student Award (one of five recipients across the region)
- National Academic Scholarship
- Academic Innovation Award (Peking University)
- Outstanding Medical Student Scholarship
- Sino Biological Scholarship
- Provincial Merit Student & Model Merit Student
Patents
Granted
Method and application of enhanced NK cells derived from gene-modified pluripotent stem cells
Contact
Feel free to reach out with questions, research ideas, or opportunities—or simply to connect.
Email