Cornell University

A long-context plant DNA language model (676M params, Mamba2) pretrained on 65 angiosperm genomes for cross-species functional annotation.

A foundational keypoint model for robust, flexible brain MRI registration, pretrained on over 100,000 3D volumes and supporting rigid, affine, and deformable alignment.

Bidirectional, reverse-complement equivariant DNA language models built on Mamba SSMs. Outperforms models 10x larger on long-range variant effect prediction.

An in-context learning model that segments unseen medical imaging tasks from a few labeled examples, with no retraining or fine-tuning.