Professor Sistrom works broadly across a number of bacterial and viral systems to explore evolutionary hypotheses using high throughput sequencing and bioinformatics methods. In particular, he is interested in:
- How microbial populations change over space and time.
- What selective pressures lead to emergent disease.
- How the evolutionary properties of microbes can be exploited to manage or eliminate disease.
He is interested in collaborative projects that look at pertinent evolutionary questions in a range of biological systems using big data approaches.
Understanding the evolutionary processes which drive the emergence of antibiotic resistant pathogens and develop new strategies to combat them:
- Examining how microbes evolve over time and space using a broad range of organismal systems, with a focus on microbiome studies, multi-drug resistant bacteria and RNA viruses. Utilizing high throughput genetic sequencing to provide genomic scale data, which is then analyzed to test developed hypotheses.