CGLab
Research
We use computational biology, comparative genomics, and single-cell transcriptomics to study questions on sequence and functional diversity, genome evolution, protein/gene family evolution, and cellular evolution.
Comparative Genomics
Analyzing genome sequences across the tree of life to uncover evolutionary patterns and genomic innovations. We compare genomes from diverse organisms to understand the genetic basis of phenotypic diversity and adaptation.
Gene Family Evolution
Tracing the ancestry and diversification of gene families to understand how molecular functions emerged. We use phylogenetic methods to reconstruct the evolutionary history of protein families and identify key innovations.
Single-Cell Transcriptomics
Applying single-cell and single-nucleus RNA sequencing to characterize cellular diversity and evolution. We study how cell types have evolved across species and developmental stages.
Computational Methods
Developing bioinformatics pipelines to extract evolutionary insights from large-scale datasets. We build tools and workflows for comparative genomics analysis.