Integrative Informatics for Infection Biology
High-throughput functional genomics technologies are providing unprecedented views of cellular behavior at genome scale. Understanding how bacterial and host cells respond to complex processes like infection increasingly requires the integration and unified interpretation of these diverse technologies.
We are using modern data science technologies, including visualization, machine learning, and statistical modeling to extract biological insight from high-throughput genomic and post-genomic data. We have particular interests in using these technologies to understand the effects of RNA-based regulation in bacteria, and non-coding RNA’s role in host-pathogen interactions and the evolution of pathogens.