Welcome! Our group develops statistical and computational methods and software for the analysis of data from high-throughput genomics experiments. We have considerable expertise in the design and analysis of single-cell and spatial transcriptomics experiments; and our recent work
focuses on developing scalable algorithms and AI models, such as multi-agent large language models, to address complex questions in developmental biology and disease mechanisms. In addition to developing statistical methods and software, our research group combines EHR with high-throughput
data from multiple platforms and studies to address critical challenges in the treatment of cancer, with a specific focus on glioblastoma.
Please see our publications and software section for more details.