Summary
Li Xiangchun is a professor and doctoral supervisor based in Shenzhen with 11 years of experience specializing in cancer genomics, systems biology, and bioinformatics. He combines deep expertise in multi-omics analysis (WES/WGS/WGBS/RNA-seq, MeDIP-seq, ChIP-seq) with practical skills in mutation calling, copy-number and structural variation detection, clonality and phylogenetic reconstruction, and mutational-signature analysis. His work spans major cancer types—esophageal, colorectal, lung, breast, DLBCL, and gastric—and emphasizes discovery of driver genes, altered pathways, and prognostic biomarkers using TCGA and other large cohorts. Trained with a PhD from The Chinese University of Hong Kong and earlier bioinformatics education from Huazhong University of Science and Technology, he has translated research into leadership roles at BGI-Shenzhen and Tianjin Medical University Cancer Hospital. He also applies deep learning to omics and medical imaging, bridging computational innovation and clinical oncology. An uncommonly hands-on academic, he pairs hypothesis-driven data mining with rigorous cross-validation to produce clinically actionable genomic insights.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Biomathematics, Bioinformatics, and Computational Biology, Bachelor's Degree, Biomathematics, Bioinformatics, and Computational Biology at Huazhong University of Science and Technology
The Chinese University of Hong Kong (CUHK)
English, Chinese