William Booker
Computational Biologist
Chapel Hill, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolWilliam Booker is a computational biologist with nine years of research experience applying deep learning, population genetic theory, and bioinformatics to real-world problems in evolutionary and applied genetics. Currently at Avalo, he builds models and methods to improve breeding programs for climate-threatened crops, translating theoretical insights into practical tools. His postdoctoral work at UNC Chapel Hill produced novel neural architectures for population genetics (including a GAN for synthetic alignments) and theoretical advances on polyploid evolution, expansion load, and pseudo-overdominance. Trained as a field-forward PhD in ecology and evolution, he combines hands-on specimen and genomic work with advanced machine learning and simulation-driven theory. He is especially known for bridging polyploid empirical systems with new population genetic models—a niche that informs both conservation and crop improvement efforts.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Florida State UniversityUniversity of Georgia
English, Spanish, Portuguese
Github Skills (32)
addon9
slim9
depth5
bioconda5
bioinformatics5
r-package4
simulator4
structural-variation4
coverage4
python3
baduk3
estimate3
genomics3
simulation3
plot2
Programming languages (5)
Github contributions (5)
wbooker/GTF_Polyploid_ABC
Jun 2019 - Apr 2022
Contributions:31 commits, 30 pushes, 1 branch in 2 years 10 months
SchriderLab/PG-Alignments-GAN
Sep 2022 - Jan 2023
Contributions:18 commits, 7 pushes in 4 months
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