Rost’s research focuses on the prediction of protein structure and function by combining means from simple statistics to artificial intelligence and evolutionary information. His group is currently also working on the following projects: to improve and extend the EValuation of Automatic protein structure prediction (EVA) server to continuously evaluate structure prediction; to improve methods to predict secondary structure and solvent accessibility; to build a database of predictions for entire genomes; and to predict structural domains from sequence. More generally, his group attempts to shift focus from predicting structure to predicting function. More about his research may be found at cubic.bioc.columbia.edu.