Lamin

Read the full post: blog.lamin.ai/sparse-measu...

Existing data infrastructure can't make sparse measurements across millions of features queryable. Warehouses are too rigid, data lakes can't be queried, tabular lakehouses don't understand the formats. Biology needs a data lakehouse with support for bio-formats and registries.

Jesse is both a technical expert — having led data platform work across Google, Verily, Sanofi, Cellarity, and others — and a thoughtful analyst at the interface of biology, AI, and data infrastructure.

We partnered with @jejomath.bsky.social to help us explain the relation between biology’s sparse measurements and the data lakehouse concept.

Two years ago we partnered with Mark Keller from Nils Gehlenborg’s Lab at Harvard to make Vitessce work seamlessly with LaminDB for interactive visualization of multimodal + spatial datasets.

What should the shared memory layer for agents and humans look like?
Will it live in embeddings or in records?
A high-level note.