Research

An example of my work

Modeling of Infectious Disease Dynamics

My research centers on the use of mathematics to understand how infectious diseases spread through a population, and how the system may change as this happens. This can be done in many ways, with different tools to suit different jobs.

Epidemiology

Infectious disease epidemiology represents a set of tools for investigating who gets diseases, why they may get them, and what sorts of interventions can be used to mitigate their burdens on populations. I am especially interested in the epidemiology of recurrent infection processes and imperfect acquired immunity. I have published work to improve the statistical estimation tools we can use to make use of data from these systems already, and I am excited to extend these methods to more pathogens.

Another example of my work

Evolution of Infectious Disease

I am keenly interested in developing general theory for ecology and evolution of infectious diseases. Having been introduced to the methods of adaptive dynamics and oligomorphic dynamics during graduate school, I am now applying these methods to model infectious disease evolution in community contexts. In particular, where multiple pathogens or multiple strains emerging in antigenic space may make the eco-evolutionary feedback loops exceedingly complicated, what are we able to say about how community architecture impacts the canonical tradeoffs observed mathematically and empirically. I also plan to use these tools to investigate evolution of systems of partial immunity, to partner with my epidemiological investigations.

Collaborations

Science is at its best when people with different expertise and interests can join forces, as I have experienced on a number of projects. Working with collaborators in Cambodia, England, Canada, and at various institutions across the US has strengthened my own understanding of the scientific landscape and taught me new skills along the way. If you are interested in collaborating, always feel free to contact me! My research interests are continually evolving (pardon the pun), so I look forward to seeing how my current projects develop into future ones and how our interests can generate new ideas.