Summary
Tom Ellis is a computational biologist and postdoctoral researcher at the Gregor Mendel Institute in Vienna with nine years of experience in evolutionary and quantitative genetics. He specializes in data-driven analyses using R and Python to dissect the genetic basis of local adaptation in plants, notably Arabidopsis thaliana. His work combines large-scale field experiments—managing tens of thousands of plants and multidisciplinary teams—with development of novel statistical methods for mapping pleiotropy and trait genetics. Trained with a PhD in Evolutionary Genetics from IST Austria, he has a strong track record of translating complex ecological experiments into robust quantitative inferences. Based in Vienna, Tom brings an experimentalist’s rigor and a computationalist’s efficiency to questions at the interface of evolution, genomics, and statistics. An understated strength is his experience coordinating tight, biology-driven field timelines while delivering reproducible, code-based analyses.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Evolutionary Genetics, Doctor of Philosophy - PhD Evolutionary Genetics at IST Austria