Tyler Linderoth is a bioinformatician with 11 years of experience applying statistical and computational methods to conservation and evolutionary biology, currently based at the W.K. Kellogg Biological Station. He brings hands-on expertise in genomic approaches from postdoctoral work on East African cichlid radiations at the University of Cambridge to applied conservation projects in Michigan. Trained in integrative and computational biology at UC Berkeley with an undergraduate background in marine biology, he bridges field-informed questions and scalable computational analyses. Tyler’s work blends population genomics, evolutionary inference, and practical bioinformatics tooling, with a strong orientation toward reproducible methods. Notably, he combines deep evolutionary genetics insight with software-driven workflows to tackle real-world biodiversity challenges.
11 years of coding experience
4 years of employment as a software developer
Integrative Biology with designated emphasis in Computational Biology, Integrative Biology with designated emphasis in Computational Biology at University of California, Berkeley
Bachelor's of Science, Marine Biology, Bachelor's of Science, Marine Biology at University of Alaska Southeast
Contributions:1 release, 21 pushes, 1 branch in 3 years
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