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# About Strand AI

Strand AI predicts missing biological modalities from existing patient data. One H&E slide becomes a stack of spatial protein maps. Genotype becomes gene expression. The assay you never ran, predicted from the data you already have.

## Team

![Yue Dai](/team-yue.jpg)

### Yue Dai

CEO & Co-founder

Trained foundation models on one of the largest multimodal patient datasets in existence at Pathos AI / Tempus AI. Led ML infrastructure across 1,000+ H200 GPUs. Previously Enable Medicine, Element AI, and Microsoft Research.

![Oded Falik](/team-oded.png)

### Oded Falik

CTO & Co-founder

Built Enable Medicine's spatial biology platform from scratch. 12B+ single-cell annotations, petabyte-scale imaging pipelines, GPU-accelerated visualization serving whole-slide and highly multiplexed images with interactive cell-level annotation in the browser.

With researchers and advisors from Mount Sinai, Stanford, and Tsinghua

Backed by

Y Combinator (W26)

[Get in touch →](mailto:founders@strandai.com)