A computational biology lab focused on understanding various contexts at single-cell resolution, including both data analysis and method development
Approach -Single-cell RNA, TCR/BCR, ATAC, Spatial, Perturb-seq -Cancer & Immunology -Mulit-modal integration -AI-based method development or analysis (GAN, LLM-based)
*Current interest -Perturbation in cancer biology using scRNA-seq or spatial transcriptomics -Method benchmarking for spatial transcriptomics -Disentanglement of the perturbation and crosstalk