A postdoctoral position is immediately available in Dr. Sushmita Roy's research group to develop computational methods to build genome-scale cell type-specific predictive regulatory networks in mammalian developmental lineages. This position entails integrating published and novel transcriptional and epigenomic datasets to construct cell type-specific regulatory networks and generate prioritized predictions that will be tested in collaboration with experimentalists.
The Roylab’s research focuses on computational network biology and regulatory genomics. We are specifically interested in developing tools, based on statistical machine learning, to predict regulatory network structure and function in diverse dynamic processes. We aim to use these genome-scale networks to construct predictive models of complex phenotypes in mammalian systems. We work in close collaboration with developmental biologists who are interested in how gene regulatory networks drive overall cellular fate and are able to test model predictions as well as to generate new datasets to improve regulatory network reconstruction.