In recent years, the growing complexity of R&D data has become so prohibitive that it often blocks scientific progress. We build data infrastructure for biology, enabling data scientists and engineers with a shared data layer for R&D teams of any size. We aim to do what git and GitHub did for code for R&D data and help integrate wet & dry labs, humans & AI, knowledge & data, and siloed teams & organizations.
I work on data infra for biology at Lamin. Previously, I created Scanpy and led the build-up of Cellarity’s compute platform.