Dr. Ruan will work closely with Dr. Zhijie (Jason) Liu on computational modeling of mega genomic assemblies composed of regulatory proteins and DNA and function during cancer progression. He will build efficient and effective computational tools to analyze and model the vast amount of data generated in this project; with these tools, Drs. Ruan and Liu will together characterize and compare regulatory networks between hormone-resistant and hormone-sensitive cancers, and develop machine learning algorithms that can utilize the derived network features to predict patient response to endocrine therapies.