Rohit Dilip

This paper introduces Cryosearch, a GPU-accelerated framework that uses Monte Carlo tree search to assemble protein complexes from intermediate-resolution cryo-EM maps.

The paper introduces Kanzi, a flow-based tokenizer for protein structures that simplifies training and outperforms existing tokenizers on reconstruction metrics.

This paper introduces DeepCell Types, a language-informed vision model for spatial proteomics cell phenotyping that generalizes across diverse datasets and marker panels.

Bounding boxes from a transformer detector let the Segment Anything Model segment cells automatically; one generalist model beats generalist Cellpose and matches inter-annotator agreement across mammalian, yeast and bacterial images.