Summary
Nathan Bihlmeyer is a biostatistician and computational geneticist with a decade of experience applying multi-omics and bioinformatics to human disease, currently focused on pediatric obesity and microbiome-derived biomarkers at Duke. He brings a PhD in Human Genetics and a track record spanning Alzheimer’s therapeutics, cardiac conduction genetics, and international consortium work, combining expertise in large-scale omics pipelines, programming, and cross-team meta-analysis. Comfortable bridging wet-lab and dry-lab worlds, he leverages hands-on molecular biology experience to inform rigorous QC and interpretation of complex datasets. Known for building reproducible pipelines and helping collaborators run and integrate diverse analyses, he excels in both leading and supporting multinational scientific efforts. An often-overlooked strength is his history of supporting dozens of analysts within large consortia, reflecting strong coordination skills alongside technical depth.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Human Genetics and Molecular Biology, Doctor of Philosophy (Ph.D.), Human Genetics and Molecular Biology at The Johns Hopkins University School of Medicine
Bachelor’s Degree, Biochemistry, Bachelor’s Degree, Biochemistry at North Carolina State University