Megan Ruffley
Molecular Breeding Scientist at Aardevo
Boise, Idaho, United States
Summary
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Senior🎓
Top SchoolMegan Ruffley is a Molecular Breeding Scientist and NSF Postdoctoral Fellow with eight years of experience applying genomics, quantitative genetics, and computational methods to understand plant adaptation and biodiversity. She has led large-scale genotype–phenotype mapping and transcriptomic concordance projects, used polygenic scores to predict species survival under climate stress, and analyzed >1,800 phenotypes across ~12 million SNPs to quantify pleiotropy and genetic correlations. Megan combines hands-on wet-lab leadership—managing tissue collection, DNA prep, and sequencing—with advanced bioinformatics, having developed an R package for simulation-based phylogenetic community inference. Awarded independent fellowship funding and skilled at mentoring interdisciplinary teams, she translates evolutionary theory into testable genomic predictions with direct conservation implications. Based in Boise, she now applies this expertise in molecular breeding to accelerate adaptive trait discovery for climate resilience.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at University of IdahoBachelor of Science - BS, Biology, General, Bachelor of Science - BS, Biology, General at Miami UniversityProgramming languages (2)
Github contributions (5)
ruffleymr/CAMI
Jul 2018 - Aug 2019
Contributions:61 commits, 53 pushes, 1 branch in 1 year 1 month
PredictivePhylogeography-SSB2018/PredictivePhylogeography-SSB2018.github.io
May 2018 - Jun 2018
Contributions:107 commits, 99 pushes, 1 branch in 1 month
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