Aaron Ragsdale

Email: aragsdale@math.arizona.edu

University of Arizona, Program in Applied Mathematics

Office: Life Sciences South 304
1007 E Lowell St
Tucson, Arizona 85721


Research

I am a graduate student in the applied math program at the University of Arizona, working in the lab of Ryan Gutenkunst. My primary research focuses on the development of numerical solutions to population genetic diffusion models, and encompasses aspects of diffusion theory, numerical methods for PDEs, statistical inference, and applications to population variation data. I recently developed a numerical method for the triallelic frequency spectrum with selection, coupled and packaged with ∂a∂i, with which we studied correlated fitness effects of same-site nonsynonymous mutations (available here or pdf).

I am currently developing a numerical approach for the two-locus diffusion equation which opens the possibility to model joint allele frequency and linkage disequilibrium statistics, and to comprehensively describe or infer the effects of linked selection such as background selection and selective sweeps. There are additional projects I am involved in, and more information can be found here: CV


Teaching

While I find teaching an extremely rewarding and enjoyable experience, I am not currently teaching any courses. Most recently, I taught Math 122b (Calc I).


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