Exploring the role of species interactions in the evolution of multi-host, multi-parasite networks
Mike Boots, Professor
Integrative Biology
Applications for Spring 2025 are closed for this project.
Our research group in the Department of Integrative Biology researches the dynamics and evolution of infectious disease. Pairwise host–parasite relationships are typically embedded in broader networks of ecological interactions, which have the potential to shape parasite evolutionary trajectories. Understanding this ‘community context’ of pathogen evolution is vital for wildlife, agricultural and human systems alike, as pathogens typically infect more than one host—and these hosts may have independent ecological relationships. This project will primarily involve mathematical modeling and numerical simulations, and will investigate the how the diversity of species interactions within a host network drives the evolution of an accompanying parasite network.
Role: The student will gain experience in dynamical systems modeling, meta-analysis, and statistical analysis, with additional opportunities to work with tools from network theory, game theory, and quantitative genetics, depending on the student's interests. The student is expected to complete assignments in a timely manner, maintain open communication with other members of the research group and with their supervisor, and ask questions when they need help or guidance. Additionally, they will participate in a bi-monthly journal club to enhance their understanding of relevant scientific literature.
Qualifications: The ideal candidate will be reliable, well-organized, and a strong communicator. We value curiosity and enthusiasm for evolutionary biology, community ecology, and infectious disease. No previous research experience is required or expected. Prior completion of the equivalent of Calculus I & II is required, with strong preference for at least one additional intermediate course (ex. differential equations, linear algebra, discrete mathematics, or probability theory). Some programming experience is a plus, but not required.
Day-to-day supervisor for this project: Claire Evensen, Graduate Student
Hours: 6-8 hrs
Biological & Health Sciences