Changhua Yu

This paper develops a framework combining a protein language model and a screening assay to predict kinase-substrate interactions and map the human kinome.

This paper introduces phospho-PCA, a method to quantify kinase-substrate interactions, and applies it to study kinase variants, revealing mutations that affect activity and substrate specificity.

The paper develops tools for analyzing T cell behavior from live-cell imaging to improve T cell therapies by studying the effects of genetic modifications on T cell-cancer cell interactions.

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.