š„ Meet Our Team
Principal Investigator šØāš«
Our research aims to redefine cancer biology through AI-driven tumor state science. By integrating artificial intelligence with systems biomedicine, we seek to understand tumors as evolving complex systems rather than static molecular entities. We develop interpretable AI frameworks to construct tumor state representations, establish cross-scale and cross-modal biological translations, and predict how tumor states evolve in response to genetic and therapeutic perturbations. Our ultimate vision is to build a Tumor AI Virtual Cell (AIVC)āan intelligent model capable of understanding, simulating, and manipulating tumor states to accelerate precision oncology.
- Artificial intelligence
- Systems biomedicine
- Tumor AI Virtual Cell
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Postdoc in Bioinformatics, 2022-2024
Tongji University
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PhD in Bioinformatics, 2016-2022
Tongji University
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BSc in Bioinformatics, 2011-2016
Harbin Medical University
š„ Other Members
Graduate Students
Hua Zou (é¹å)
Shanghai Jiao Tong University
PhD Candidate (2025-)
Host-microbiome interaction, Machine learning, Multi-omics data analysis
Xinyu Zhu (ę±ę¬£éØ)
Shanghai Jiao Tong University
PhD Candidate (2026-)
Machine learning, Spatial transcriptomics
Zhiye Zhao (čµµę²»ēØ)
Shanghai Jiao Tong University
Master student (2025-)
Machine learning, Data analysis
Mingli Luo (ē½ęē«)
Shanghai Jiao Tong University
Master student (2026-)
Bioinformatics algorithm, Spatial cell atlas, Tumor heterogeneity
Intern
Sufan Wang (ēē¦ē )
Harbin Medical University
Remote Intern
Spatial transciptomics, Single-cell transciptomics, Multi-omics
