"I applied to the Scholars program in order to conduct research in biological mathematics. I hope to learn more about the research process and to become more capable of integrating the principles I have learned throughout my education at UF."
I am interested in pursuing medicine and genetics based research.
Academic and Other Awards
- University Scholars Program Scholarship (2011-2012)
With Eta Sigma Phi I help organize annual canned-food drives, bake-a-thons, and other events.
Hobbies and Interests
- Ultimate frisbee, photography, writing, and baking.
Population Dynamics of Species Exhibiting Intralocus Sexual Conflict
My research project revolves around the population dynamics of the lizard species Anolis sagrei. The project incorporates principles of genetics—in particular intralocus sexual conflict, sexual dimorphism, and genomic imprinting—and mathematic modeling. The genetic principles allow for the development of a theory concerning the cryptic sexual selection that takes place in this and other studied species, while the mathematics allows for a confirmation of the theory. After establishing a simplified model of the anole population, we will assess the validity of the model through a combination of mathematical analysis and numerical simulation. We can then incorporate more complex variables in order to obtain a more realistic approximation of the dynamics. Because the genetics of Anolis sagrei is not well documented, assumptions will be made based on the studies of other species that also exhibit sexual dimorphism, such as the fly Prochyliza xanthosoma. The primary mathematics program that will be employed is MATLAB. Because sexual dimorphism and intralocus sexual conflict is a common occurrence throughout nature, the process by which Anolis sagrei attempts to resolve the conflict may be applicable to many other similar species. The research project may provide the approximate mechanism through which sexual selection occurs and highlight the limitations on trait divergence that restrains the fitness of populations.