Phd - "Social Recognition In Ants And Trematodes"
Berkeley, California, United States
I studied how animals use information to decide who gets to be members of their societies. In ants, I found that the smell of their exoskeleton wax can possess small differences that are socially meaningful, but do not sacrifice the waterproofing function of this wax on their body surface. In trematodes, I proposed philosophical arguments for why polyembryonic parasites have a similar social evolution to social insects, and I showed that worms inside of snails are capable of recognizing if other parasites come from the same marsh as they do.To successfully complete these projects, I implemented the following methods: > Pairwise permutation testing for a three-way unidirectional behavior assay design I invented to study how trematodes percieve different "types" of enemies > Random forest classification to select which features are important for our ecological models > Proportional hazard modeling to assess how multiple covariates influence the lethality of dessication on Argentine ants > Partial least squares regression for predictive ecological models where multicollinearity was problematic > Power analysis to determine necessary sample size of experiments > Automated data transformation and analysis to organize and identify chemical compounds from GC/MS data, and share with collaborators quickly