The aim of his current work is to help researchers achieve human whole-cell (WC) models that enable physicians to personalize medicine. To this end, he develops algorithms and software for building, simulating, and analyzing WC models. WC models are computational models that predict how genotype influences phenotype by accounting for every gene function in a cell. His methods systemize and accelerate WC modeling and enable scientists to efficiently build and simulate WC models. In particular, he is inventing methods that enable researchers to create models of human cells that represent all annotated human genes and can guide medicine by screening drugs in silico.