The better way to run single cell genomics
Single-cell genomics is expensive and difficult to analyze at scale, limiting adoption and insight from cell-by-cell data.
They provide software and computational infrastructure for scalable single-cell genomics analysis while reducing sequencing cost by about 10x.
Researchers and biotech/pharma teams running single-cell sequencing experiments.
PhD bioinformatics (UCSF) | Cofounder of Dropprint Genomics (W20; acquired by Immunai) | Currently building out new businesses lines in biotech


