AYOMIKUN O. AKINRINADE

I use/develop computational methods to understand the interplay between ecology and evolutionary dynamics of organisms (viruses and fishes, for the most part).

Academic History

Ph.D. Genome Sciences, 2024 —
University of Washington, Seattle
Thesis: Inferring the contribution of individual hosts on outbreaks under dense genomic surveillance

M.S. Ecology & Evolutionary Biology, 2022 — 2024
University of California, Irvine
Thesis: Macroevolution of live birth in teleost fishes

B.S. Health Studies (Public Health), 2018 — 2022
University of Washington, Bothell

Publications

  1. Epstein H.E., Brown T., Akinrinade A.O., McMinds R., Pollock F.J., Sonnett D., Smith S., Bourne D.G., Carpenter C.S., Knight R., Willis B.L., Medina M., Lamb J., Vega Thurber R., Zaneveld, J.R. (2025). Evidence for microbially-mediated tradeoffs between growth and defense throughout coral evolution. Animal Microbiome 7, 1. DOI: https://doi.org/10.1186/s42523-024-00370-z

Fellowships and Awards

Genome Training Grant Predoctoral Trainee (2024-2026)
University of Washington; National Institutes of Health; National Human Genome Research Institute.

Book chapter

Zaneveld J.R., Akinrinade A.O. (2025). Using Machine Learning to Identify Enzyme Class from Features of Sequence Composition.
In Full Spectrum Bioinformatics.
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