His research in computational systems biology aims to understand, control, and design the dynamic regulatory mechanisms governing complex biological processes. To this end, his group develops new computational methods, ontologies, and high-performance in silico experiments to automate the reverse-engineering of quantitative models from biological data and the design of regulatory networks for specific functions. They seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology. His work has received widespread media coverage including Wired, TechRadar, and Popular Mechanics.