Wesley Crouse
Scientist, Statistical Genetics
Raleigh-Durham-Chapel Hill Area United States
Summary
👤
Senior🎓
Top SchoolWesley Crouse is a statistical genetics scientist with a PhD in Bioinformatics and Computational Biology and eight years of experience translating complex genomic data into actionable biological insight. He develops and applies Bayesian and causal-inference methods—implemented in R and Stan—to prioritize causal genes, tissues, and drug targets across human and model-organism studies. His work spans transcriptome-wide association, haplotype-based QTL mapping, mediation analysis, and multi-omic response to environmental exposures, blending rigorous method development with practical applications in industry and academia. Based in the Raleigh–Durham area, he currently uses causal inference at Vesalius Therapeutics to identify therapeutic targets, bringing a track record of collaborative projects at UNC and the University of Chicago. Notably, his background in economics and public-health analytics informs a pragmatic, data-driven approach to assessing translational impact.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Bioinformatics and Computational Biology at University of North Carolina at Chapel Hill
Github Skills (10)
causal10
r-package10
r9
bayesian8
genetic2
python-bindings1
biology1
correlation1
computational-biology1
bioinformatics1
Programming languages (3)
Github contributions (5)
wesleycrouse/TIMBR
Feb 2018 - Feb 2021
Contributions:427 commits, 406 pushes, 1 branch in 3 years
wesleycrouse/bmediatR
Jul 2020 - Aug 2022
Bayesian model selection approach for mediation
Contributions:55 commits, 1 PR, 19 pushes in 2 years 2 months
bayesian
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