"My lab focuses on precision immunology using cutting edge single-cell multi-omics and spatial transcriptomics in conjunction with novel AI methods. Single cell multi-omics, Method of the Year 2019, is a powerful tool that simultaneously measures multiple-omes of a cell including its genome, transcriptome, epigenome, methylome, and proteome. It represents a new frontier for the discovery and characterisation of cell states and holds unprecedented potential for dissecting cellular heterogeneity. We are developing multi-modal AI methods to jointly project multi-omics to one shared latent space, identify and quantify cell subsets with greater accuracy and higher resolution, discover new cell types and their associated functions, and uncover relationships across-omics.
Using integrative single-cell analysis, we study crosstalk between tumour, immune cells, and pathogens in human cancers, aiming to improve diagnosis and cancer immunotherapy. Meanwhile, we collaborate closely with biologists and clinicians, who are actively involved in data analysis.”
Dr Chen Jinmiao obtained a PhD in machine learning and artificial intelligence from Nanyang Technological University, Singapore in 2007. In 2009, as a postdoctoral research fellow, she joined the Bioinformatics core of SIgN. She became a Project Leader in 2014 and established her own research lab. She is now a Principal Investigator and her lab focuses on single-cell computational/system immunology.