Summary
Lauren Ash is a computational biologist and quantitative ecologist with a Ph.D. and over a decade of experience applying data science, machine learning, and geospatial analysis to questions at the intersection of species, environment, and pathogens. Currently a postdoctoral scholar, she combines fieldwork, molecular methods, and advanced computational modeling to study species distributions and pathogen transmission, most recently evaluating how satellite imagery resolution affects Aedes aegypti prediction and climate-driven expansion risk. Proficient in R and shell scripting with solid Python and SQL skills, she also designs and teaches reproducible computational biology curricula for undergraduates and graduates. Her work bridges theory and application—linking climatic, socioeconomic, and genetic drivers of ecological dynamics—and she brings a track record of interdisciplinary collaboration and practical, reproducible research workflows.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Wildlife Ecology and Conservation, Bachelor of Science - BS, Wildlife Ecology and Conservation at University of Florida
Doctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at University of Vermont
University College London