My research is the development and application of quantitative methods to better understand the evolutionary ecology of communities with a focus on human health. Biomathematics, biostatistics, and other quantitative approaches are integral to my work. I have worked on topics including predator-prey coevolution, spatiotemporal dynamics and prevention of influenza, and microbial community dynamics. For the last several years I have focused heavily on two topics: 1) understanding interactions that occur within microbiomes and their consequnces for human health and 2) epidemiological modeling of infectious diseases to optimize public health strategies. I currently am in the Mathematics department at the University of Idaho and have previously held positions at the CDC and the University of Notre Dame. At the University of Idaho I am a participating member of the Bioinformatics and Computational Biology program, the Institutes for Bioinformatics and Evolutionary Studies, and the Center for Modeling Complex Interactions.
If you are either an undergraduate student, graduate student, or post-doc and you are looking for a position, then please contact me. Preference will be given to individuals with quantitative and/or compuational skill sets. Other information about me can be found on ORCID, Google Scholar, ResearchGate, and NCBI.
Funding for my research has come from:
If you are either an undergraduate student, graduate student, or post-doc and you are looking for a position, then please contact me. Preference will be given to individuals with quantitative and/or compuational skill sets. Other information about me can be found on ORCID, Google Scholar, ResearchGate, and NCBI.
Funding for my research has come from:
Mad Scientist
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