1. Biocomputing
Applying interdisciplinary scientific knowledge and cutting-edge AI model technologies, integrating multi-omics big data such as genomics, single-cell analysis, spatial transcriptomics, and epigenomics, to decipher the molecular and cellular dynamics mechanisms underlying critical life processes.
My group had developed Genos, a human-centric genomic foundation model, which is trained on human genomic data. Genos can be used to analyze and understand the genetic information of human genomes, as well as to predict the effects of genetic variations on human health.
2. Evolutionary Developmental at Cellular and Functional Levels
Focusing on understanding the spatiotemporal dimensions of the central dogma (from the central dogma to spatiotemporal principles), we develop novel computational methods for studying evolutionary development at molecular, cellular, and structural levels. This includes exploring the mechanisms of tissue and organ development and investigating the principles of structure and function evolution.
3. Brain Science and Cancer Research
We construct cell atlases of brain tissues and tumor microenvironments, study the diversity of cell types and spatial structures in the nervous and immune systems, and explore the regulatory mechanisms of cell migration and differentiation.
4. Comparative Genomics
Through genomic and population genetic analyses, we investigate the genetic mechanisms underlying species adaptability and changes in population structure.